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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. 11-RES-JB
    11. 11080
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    Explanations

    calls to action for engaging with a document or content

    oai_token-act-pair · gpt-3.5-turbo

    phrases encouraging engagement in the comments section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.71
    arov
    -0.69
     Canaveral
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.60
     consum
    -0.59
    edIn
    -0.57
     reluct
    -0.57
     Mechdragon
    -0.56
    roots
    -0.55
    ewitness
    -0.54
    POSITIVE LOGITS
     below
    1.24
     section
    1.11
    !
    0.98
     ðŁĻĤ
    0.97
     BELOW
    0.97
    below
    0.93
     :)
    0.93
    !.
    0.89
     sections
    0.87
     ;)
    0.87
    Activations Density 0.046%

    No Known Activations