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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. 16912
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    Explanations

    references to or mentions of a specific location, likely related to law enforcement or governmental activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Det" and related terms indicating a specific detective or law enforcement context

    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
    xual
    -0.94
    manship
    -0.84
    ammy
    -0.84
    hetti
    -0.82
    nown
    -0.76
    drive
    -0.75
    lihood
    -0.74
    perm
    -0.70
    heit
    -0.65
    blind
    -0.65
    POSITIVE LOGITS
    ector
    1.22
    rans
    1.01
    ective
    0.99
    ention
    0.98
    ainers
    0.98
    ected
    0.96
    ailed
    0.95
    roit
    0.94
    ENTION
    0.91
    achment
    0.90
    Activations Density 0.012%

    No Known Activations