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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. 10-RES-JB
    11. 4456
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    Explanations

    mentions of individuals or groups and associating them with others

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.84
    arbon
    -0.82
    EStreamFrame
    -0.75
     undermin
    -0.73
     conclud
    -0.73
     proport
    -0.71
     therap
    -0.68
    aptic
    -0.67
    Language
    -0.66
    otive
    -0.66
    POSITIVE LOGITS
     myself
    1.21
    lihood
    1.21
     ours
    1.19
     yours
    1.17
     hers
    1.04
    lier
    0.99
     mine
    0.98
     yourselves
    0.98
    liest
    0.93
     theirs
    0.92
    Activations Density 0.075%

    No Known Activations