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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. 9706
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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
    Not in Any Lists

    No Comments

    Negative Logits
     toget
    -0.75
     predec
    -0.72
     veter
    -0.70
     blat
    -0.69
     Niet
    -0.69
     advoc
    -0.68
     Seym
    -0.68
     unde
    -0.66
     formulas
    -0.66
     Codec
    -0.65
    POSITIVE LOGITS
    lication
    0.76
    letter
    0.73
    iform
    0.73
    VPN
    0.71
    hunt
    0.71
    ingly
    0.71
    pard
    0.69
    CNN
    0.68
    arty
    0.68
    Draft
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.