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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. 9-RES-JB
    11. 9158
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inion
    -0.78
    aded
    -0.77
    raltar
    -0.74
    atri
    -0.72
    akable
    -0.72
    icipated
    -0.71
    resents
    -0.70
    shaw
    -0.70
    knife
    -0.70
    ands
    -0.69
    POSITIVE LOGITS
    ymes
    0.70
     quite
    0.66
     there
    0.66
     Technician
    0.66
     Punk
    0.65
     nobody
    0.65
    âĶĢ
    0.64
     Professor
    0.60
     raining
    0.60
     Sect
    0.59
    Activations Density 0.042%

    No Known Activations