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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. 7-RES-JB
    11. 7184
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    Explanations

    phrases indicating comparison or evaluation

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MAS
    -0.88
    swick
    -0.78
    MAP
    -0.76
    /#
    -0.75
    WAYS
    -0.75
    Train
    -0.75
    CHAT
    -0.74
    ç«
    -0.71
    ACA
    -0.70
    SourceFile
    -0.69
    POSITIVE LOGITS
     regards
    0.83
     possible
    0.82
     practicable
    0.82
    afort
    0.76
     permissible
    0.76
     contacting
    0.73
    ricular
    0.68
     distances
    0.68
     latitude
    0.68
     anybody
    0.64
    Activations Density 0.018%

    No Known Activations