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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. 13203
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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
    Not in Any Lists

    No Comments

    Negative Logits
    deen
    -0.85
    reb
    -0.77
    ifice
    -0.75
    notations
    -0.75
    atives
    -0.74
    ems
    -0.73
    sson
    -0.71
    ignty
    -0.70
    someone
    -0.69
    estine
    -0.68
    POSITIVE LOGITS
     premier
    0.66
     descend
    0.65
     itiner
    0.64
     crest
    0.64
     premiere
    0.64
     fi
    0.63
     finally
    0.60
     stride
    0.60
     redef
    0.59
     combine
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.