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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. 5211
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    Explanations

    words related to economic concepts like "free-market" and "trade", with a focus on negative or critical contexts

    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
     Lumpur
    -0.76
    ynski
    -0.74
    ulhu
    -0.72
     Birch
    -0.69
     Blanc
    -0.68
     Bog
    -0.67
     KC
    -0.67
     Scotia
    -0.66
     Archdemon
    -0.66
     Nieto
    -0.65
    POSITIVE LOGITS
    expression
    1.12
    charge
    1.04
    aggressive
    1.04
    ranging
    1.03
    ass
    1.03
    choice
    1.01
    lance
    1.01
    standing
    1.01
    energy
    1.00
    range
    1.00
    Activations Density 0.032%

    No Known Activations