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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. 1-RES-JB
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    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the word "named."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMS
    -0.91
    Beg
    -0.73
    YS
    -0.72
    Anim
    -0.70
    Yo
    -0.68
    Const
    -0.67
    Times
    -0.66
    jj
    -0.66
    JJ
    -0.65
    Hispanic
    -0.64
    POSITIVE LOGITS
     named
    1.21
     naming
    1.12
    named
    1.08
     names
    0.97
    paces
    0.93
     aliases
    0.91
     surn
    0.88
     Named
    0.80
    htaking
    0.78
    comings
    0.77
    Activations Density 0.014%

    No Known Activations