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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. 6-RES-JB
    11. 14843
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    Explanations

    mentions of individuals, likely referring to titles like "Mr." or "president."

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the title "Mr" followed by a name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LET
    -0.77
    OPA
    -0.75
    ··
    -0.74
     actionGroup
    -0.73
    idate
    -0.70
    spir
    -0.69
    College
    -0.69
    tumblr
    -0.68
    Bound
    -0.67
    ËĪ
    -0.66
    POSITIVE LOGITS
    dinand
    0.84
    orm
    0.73
     Turnbull
    0.73
     Finn
    0.71
     believes
    0.71
     Claus
    0.69
     Peng
    0.69
     Riy
    0.68
    agher
    0.68
     Farage
    0.68
    Activations Density 0.045%

    No Known Activations