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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. 17581
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    Explanations

    words related to communication and interaction, such as texting, messaging, emailing, and talking

    oai_token-act-pair · gpt-3.5-turbo

    actions and behaviors related to communication, interpersonal conflict, and social interactions

    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
    fitting
    -0.77
     conclud
    -0.74
    aston
    -0.73
    ciplinary
    -0.72
    00007
    -0.70
    achment
    -0.69
    ãĥł
    -0.68
    fitted
    -0.67
    ŃĶ
    -0.65
    inet
    -0.65
    POSITIVE LOGITS
     him
    1.39
     somebody
    1.36
     someone
    1.34
     anybody
    1.31
     anyone
    1.19
     them
    1.08
     whoever
    1.07
     me
    1.06
    someone
    1.03
     Him
    1.02
    Activations Density 0.386%

    No Known Activations