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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 2035
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    Explanations

    specific terms or phrases related to categories, measurements, or quantities, such as "workspace," "patient," "reward," "each league," "protein," "demographic," "currency," "faith," "pitcher," "city," "race," "gender," "connection," "climate zone

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various entities or categories that indicate a shared or common attribute within a specified context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hern
    -0.69
    comings
    -0.66
     beginnings
    -0.65
     skeptics
    -0.64
    bows
    -0.63
    wolves
    -0.61
     Hil
    -0.59
    adies
    -0.59
     Mines
    -0.58
     ceilings
    -0.58
    POSITIVE LOGITS
    group
    1.19
     category
    1.14
     group
    1.14
     type
    1.02
     entity
    1.01
    artment
    1.00
     pair
    0.99
    fecture
    0.98
    unit
    0.98
     grouping
    0.97
    Activations Density 0.409%

    No Known Activations