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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8204
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    Explanations

    mentions of government officials and legal terms

    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
    acters
    -0.79
    ters
    -0.70
    points
    -0.67
    pots
    -0.65
    hered
    -0.64
    nown
    -0.64
    Sea
    -0.64
    ãĥ¼ãĤ¯
    -0.64
    âķIJ
    -0.63
    Prev
    -0.63
    POSITIVE LOGITS
     Eric
    0.75
     Sessions
    0.74
     Counsel
    0.72
     Pam
    0.71
     prosecutor
    0.71
     Amnesty
    0.69
     Mattis
    0.69
     Kam
    0.69
    istration
    0.69
     Lore
    0.69
    Activations Density 0.032%

    No Known Activations