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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. 9-RES-JB
    11. 16736
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    Explanations

    verbs related to actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    action verbs that indicate significant activities or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.68
     Almighty
    -0.59
     COURT
    -0.59
     Ruler
    -0.56
    wick
    -0.54
     msec
    -0.54
     Ange
    -0.54
    iscons
    -0.53
    ophy
    -0.53
     APPLIC
    -0.53
    POSITIVE LOGITS
    ingly
    1.07
    ings
    1.03
     themselves
    1.01
    eth
    0.93
    fully
    0.85
    adelphia
    0.83
    ned
    0.81
    selves
    0.79
    ably
    0.77
    able
    0.74
    Activations Density 0.544%

    No Known Activations