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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. 17263
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    Explanations

    occurrences of the word "participate" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "participate" and its variations, indicating involvement or engagement in activities

    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
    pe
    -0.68
    flies
    -0.67
    borne
    -0.66
    pex
    -0.64
    forward
    -0.61
    ritic
    -0.60
    tons
    -0.59
    fly
    -0.59
    esome
    -0.58
    corruption
    -0.58
    POSITIVE LOGITS
     in
    0.78
     therein
    0.75
    ivity
    0.71
     actively
    0.69
    ãĥĦ
    0.68
    ucky
    0.67
    ively
    0.67
    atta
    0.66
     guiActiveUn
    0.66
     participate
    0.65
    Activations Density 0.044%

    No Known Activations