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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. 17796
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    Explanations

    specific numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "number" followed by numerical values

    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
    rador
    -0.88
    Interstitial
    -0.76
     Shroud
    -0.74
    outer
    -0.73
    Materials
    -0.72
    axter
    -0.71
    INTON
    -0.69
    IAL
    -0.67
    Sov
    -0.66
    romeda
    -0.65
    POSITIVE LOGITS
    plates
    0.95
    enance
    0.79
     crunch
    0.76
    number
    0.76
    esses
    0.76
     999
    0.74
     digits
    0.74
     number
    0.73
    plate
    0.73
    ãĥ¼ãĥ³
    0.72
    Activations Density 0.041%

    No Known Activations