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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. 3-RES-JB
    11. 3493
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    Explanations

    words related to action or objects that can be used or manipulated

    oai_token-act-pair · gpt-3.5-turbo

    references to various objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascal
    -0.59
    ovember
    -0.58
     August
    -0.56
     March
    -0.55
     Healthcare
    -0.54
    ++++
    -0.54
    Jr
    -0.53
    ĵĺ
    -0.53
     October
    -0.53
     Harvey
    -0.53
    POSITIVE LOGITS
     rul
    0.71
     phenotype
    0.70
     pane
    0.63
     destro
    0.63
     status
    0.61
     slic
    0.60
     pars
    0.60
    bard
    0.58
     loc
    0.58
     alle
    0.58
    Activations Density 1.307%

    No Known Activations