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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. 11464
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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
    Not in Any Lists

    No Comments

    Negative Logits
     distract
    -0.64
     cues
    -0.64
     Nope
    -0.61
     situ
    -0.61
    getic
    -0.60
    iating
    -0.60
     withdrawals
    -0.59
     fractions
    -0.58
     censor
    -0.56
     grading
    -0.55
    POSITIVE LOGITS
    aram
    0.70
     Belg
    0.67
    acha
    0.67
    enos
    0.66
    eco
    0.65
    Äĩ
    0.65
    atel
    0.64
    ÅŁ
    0.64
    acket
    0.63
    emet
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.