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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. 5995
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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
     srf
    -0.92
    alla
    -0.92
    ailability
    -0.85
    İĭ
    -0.82
    pload
    -0.81
    inder
    -0.78
    olation
    -0.78
    mble
    -0.75
    venge
    -0.73
    pora
    -0.72
    POSITIVE LOGITS
    [/
    0.75
     sight
    0.73
     Hew
    0.68
    ](
    0.65
    ]-
    0.65
    ridges
    0.64
     pupils
    0.64
     Hollow
    0.63
     Koch
    0.62
     Saw
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.