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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. 9-RES-JB
    11. 17430
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    Explanations

    numerical patterns and sequences within text, possibly related to codes or data

    oai_token-act-pair · gpt-3.5-turbo

    numbers and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ultras
    -0.76
    aughs
    -0.66
     terminology
    -0.59
     jargon
    -0.58
     throats
    -0.58
     whisk
    -0.58
     boom
    -0.56
    lean
    -0.55
     mentality
    -0.55
    89
    -0.55
    POSITIVE LOGITS
    ffe
    0.84
    128
    0.81
    304
    0.79
    127
    0.78
    raid
    0.78
    102
    0.77
    azo
    0.76
    303
    0.76
    st
    0.75
    196
    0.75
    Activations Density 0.201%

    No Known Activations