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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. 11294
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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
     Holo
    -0.73
     charism
    -0.72
     Pengu
    -0.70
     propri
    -0.69
     challengers
    -0.69
     Nev
    -0.68
     squats
    -0.68
     pneum
    -0.67
     Galile
    -0.67
     Ari
    -0.65
    POSITIVE LOGITS
    OF
    0.77
    Charg
    0.76
    bered
    0.75
    lore
    0.75
    Switch
    0.74
    lf
    0.72
    onut
    0.71
    interface
    0.70
    AF
    0.70
    Environmental
    0.70
    Activations Density 0.000%

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