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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. 8-RES-JB
    11. 5004
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    Explanations

    days of the week or methods of communication, such as press, television, radio, and online, when they are specifically mentioned

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days or types of media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ampires
    -0.85
    osaurs
    -0.82
    aters
    -0.79
    abiding
    -0.74
    profits
    -0.74
    ateurs
    -0.73
    iors
    -0.72
    zees
    -0.72
     idols
    -0.71
    acists
    -0.69
    POSITIVE LOGITS
     statement
    1.17
     memorandum
    1.13
     briefing
    1.10
     interview
    1.10
     affidavit
    1.08
     memo
    1.08
    statement
    1.05
     report
    0.96
     survey
    0.95
     excerpt
    0.95
    Activations Density 0.309%

    No Known Activations