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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. 1-RES-JB
    11. 10310
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cedes
    -0.74
    elight
    -0.67
    ocaust
    -0.66
    clusively
    -0.65
    yond
    -0.65
    ategor
    -0.64
    idious
    -0.63
    untarily
    -0.62
    atts
    -0.61
    atical
    -0.61
    POSITIVE LOGITS
    Ear
    0.79
    çĶŁ
    0.71
    FINEST
    0.70
    GH
    0.70
    ILLE
    0.66
    RO
    0.66
    FU
    0.65
    mean
    0.65
    ĺħ
    0.64
    Lat
    0.63
    Activations Density 0.000%

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