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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. 10-RES-JB
    11. 1032
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    INDEX
    Explanations

    numerical values indicating size or quantity

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _>
    -0.63
    aucuses
    -0.58
    ynski
    -0.58
     Balk
    -0.56
    shit
    -0.56
     immortality
    -0.56
    venge
    -0.55
    illions
    -0.54
     antagonists
    -0.54
    agan
    -0.54
    POSITIVE LOGITS
     lbs
    1.11
     sq
    1.09
     square
    1.08
     cubic
    1.02
     km
    1.01
     feet
    1.00
     rpm
    0.98
    sq
    0.97
    mAh
    0.97
     pounds
    0.97
    Activations Density 0.088%

    No Known Activations