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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. 3-RES-JB
    11. 13570
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    Explanations

    executives and high-level positions within organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to corporate executives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apo
    -0.77
    ttp
    -0.74
    INGTON
    -0.69
    forth
    -0.67
    Pg
    -0.67
    theless
    -0.66
    1024
    -0.65
    FUL
    -0.64
    ength
    -0.64
    GO
    -0.63
    POSITIVE LOGITS
     executives
    1.03
    otonin
    0.82
     Doodle
    0.82
     exec
    0.81
     executive
    0.77
     incent
    0.70
     salaries
    0.69
     memo
    0.69
     overseeing
    0.68
    ority
    0.68
    Activations Density 0.015%

    No Known Activations