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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. 4-RES-JB
    11. 18563
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    Explanations

    phrases related to investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to investigative entities

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

    No Comments

    Negative Logits
    south
    -0.71
    ned
    -0.70
    yip
    -0.67
    ward
    -0.64
    church
    -0.63
    lord
    -0.63
    oted
    -0.62
    rip
    -0.62
    np
    -0.61
    bows
    -0.60
    POSITIVE LOGITS
     probing
    0.94
     subpoen
    0.91
     investigator
    0.89
     investigating
    0.88
     uncovered
    0.85
     confir
    0.83
    ĸļ
    0.79
     investigates
    0.76
     tampering
    0.76
     GOODMAN
    0.76
    Activations Density 0.015%

    No Known Activations