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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. 6-RES-JB
    11. 14885
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    Explanations

    mentions of the word "monkey" in a document

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "monkey" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.79
    EMP
    -0.77
    inen
    -0.76
    encer
    -0.74
    reek
    -0.74
     Compton
    -0.73
    inyl
    -0.72
    encers
    -0.72
    aci
    -0.72
    ENC
    -0.71
    POSITIVE LOGITS
    pox
    0.94
     wrench
    0.84
    sey
    0.82
    patch
    0.72
     monkeys
    0.71
    oleon
    0.71
     monkey
    0.70
     bitten
    0.69
    ãĥ£
    0.68
    frog
    0.66
    Activations Density 0.029%

    No Known Activations