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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 8-RES-JB
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    Explanations

    phrases discussing the number "two"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the number two

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.74
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.68
    erker
    -0.67
    eez
    -0.67
    Ł
    -0.65
    enture
    -0.64
    taboola
    -0.64
    humane
    -0.62
    phi
    -0.62
    pmwiki
    -0.61
    POSITIVE LOGITS
     namely
    1.25
     totaling
    1.06
     viz
    1.05
     apiece
    1.05
    each
    0.94
     respectively
    0.92
    two
    0.87
     consecut
    0.85
     halves
    0.74
     ones
    0.73
    Activations Density 0.354%

    No Known Activations