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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. 3-RES-JB
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    Explanations

    phone numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "number" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    INTON
    -0.86
    Materials
    -0.79
    rador
    -0.78
    clair
    -0.74
    ovie
    -0.73
    iband
    -0.70
    rend
    -0.70
    sbm
    -0.69
    gewater
    -0.67
    illard
    -0.66
    POSITIVE LOGITS
    plates
    0.90
    codes
    0.78
    number
    0.77
    esses
    0.76
     999
    0.74
     codes
    0.73
     number
    0.72
    ology
    0.70
     666
    0.69
     NUM
    0.69
    Activations Density 0.030%

    No Known Activations