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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. 4282
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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
     GDDR
    -0.66
    ocious
    -0.65
     pursu
    -0.65
    vind
    -0.64
     Buff
    -0.64
    etime
    -0.62
     hoard
    -0.62
    agraph
    -0.61
     fif
    -0.61
    osaurus
    -0.61
    POSITIVE LOGITS
    HOU
    0.79
    ZA
    0.79
    LO
    0.77
    LS
    0.77
    Mos
    0.76
    MAR
    0.75
    EMA
    0.75
    OME
    0.74
    RC
    0.73
    女
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.