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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. 5192
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    Explanations

    phrases related to physical actions involving movement or transportation

    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
    Fair
    -0.72
    liner
    -0.70
    .–
    -0.69
     differentiate
    -0.68
    aver
    -0.67
    etts
    -0.64
    Connect
    -0.64
    adj
    -0.63
    ividual
    -0.63
    itures
    -0.63
    POSITIVE LOGITS
    drawn
    1.17
    stood
    1.13
    draw
    1.01
     impunity
    0.99
    standing
    0.98
     torches
    0.94
     regards
    0.92
    holding
    0.89
     dignity
    0.85
     loads
    0.84
    Activations Density 0.173%

    No Known Activations