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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. 24180
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    Explanations

    references to staff members

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "staff" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
     Fem
    -0.69
    ICO
    -0.67
    displayText
    -0.66
    osp
    -0.66
     arous
    -0.64
     Sham
    -0.64
    icity
    -0.64
    200000
    -0.64
     Roosevelt
    -0.63
     Bout
    -0.62
    POSITIVE LOGITS
     members
    1.17
    member
    1.12
    members
    1.12
     member
    1.08
     sergeant
    1.00
    emouth
    0.86
     shortages
    0.84
     Members
    0.83
     morale
    0.81
    s
    0.81
    Activations Density 0.046%

    No Known Activations