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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. 4-RES-JB
    11. 6373
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Lumpur
    -0.81
    NetMessage
    -0.81
    jriwal
    -0.76
    cknow
    -0.70
    İĭ
    -0.69
    aden
    -0.68
    itary
    -0.65
     extrad
    -0.65
    perty
    -0.65
     Essence
    -0.64
    POSITIVE LOGITS
    Asia
    0.69
     Flores
    0.65
     Boll
    0.59
    hetti
    0.59
    mph
    0.59
    bearing
    0.58
     translated
    0.57
    Far
    0.57
    NPR
    0.56
    LO
    0.56
    Activations Density 0.000%

    No Known Activations

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