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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. 13529
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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
    enance
    -0.92
    isters
    -0.76
    Enjoy
    -0.70
    wcsstore
    -0.69
    dinand
    -0.67
    orage
    -0.65
    ister
    -0.65
     dw
    -0.63
    ication
    -0.62
    erest
    -0.62
    POSITIVE LOGITS
     backward
    0.72
     Fil
    0.63
     CONT
    0.62
     composing
    0.60
    reach
    0.60
     Wings
    0.60
    MP
    0.59
    TP
    0.57
    HF
    0.57
    irc
    0.55
    Activations Density 0.000%

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