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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
    11. 11270
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    INDEX
    Explanations
    No Explanations Found
    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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    Negative Logits
    uras
    -0.84
    clair
    -0.73
    chel
    -0.71
    ogi
    -0.70
    akedown
    -0.68
    inez
    -0.67
    ç«
    -0.64
    chin
    -0.64
    Posted
    -0.64
     overe
    -0.63
    POSITIVE LOGITS
    isSpecialOrderable
    0.74
    sort
    0.73
    swick
    0.73
    '/
    0.71
     CTR
    0.67
    TPPStreamerBot
    0.65
     Math
    0.63
    Math
    0.62
     CASE
    0.62
    landish
    0.62
    Activations Density 0.000%

    No Known Activations

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