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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. 19590
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and dates

    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
    BIL
    -0.97
    LU
    -0.85
     Fib
    -0.82
     Gw
    -0.79
     Vietnamese
    -0.77
    GV
    -0.75
    GL
    -0.75
    uz
    -0.74
     Hil
    -0.71
    QL
    -0.70
    POSITIVE LOGITS
    ary
    0.85
    itely
    0.84
    İ
    0.84
    2014
    0.82
    aku
    0.79
    ħĭ
    0.79
    atana
    0.79
    rite
    0.79
    ARY
    0.79
     1944
    0.75
    Activations Density 0.475%

    No Known Activations