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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. 4-RES-JB
    11. 1103
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    Explanations

    expressions related to physical actions or interactions

    oai_token-act-pair · gpt-3.5-turbo

    actions and expressions that convey emotional responses or reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     certific
    -0.72
     Buildings
    -0.68
     buildings
    -0.68
    aples
    -0.67
     Sections
    -0.67
     precincts
    -0.65
     Aires
    -0.64
     Vehicles
    -0.64
     Halls
    -0.63
     reservoirs
    -0.63
    POSITIVE LOGITS
    away
    1.15
    athon
    1.06
    ahead
    0.96
    aways
    0.95
    over
    0.93
    able
    0.83
    cation
    0.83
    ings
    0.81
    back
    0.79
    BACK
    0.79
    Activations Density 0.394%

    No Known Activations