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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. 7-RES-JB
    11. 18810
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    Explanations

    the word "suff" followed by high numbers, possibly related to "suffering" or "suffocation"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "suff" in various contexts related to suffering or suffocation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.85
     Bravo
    -0.71
    videos
    -0.71
    senal
    -0.71
    Ô
    -0.68
     Noir
    -0.68
    REF
    -0.65
     neigh
    -0.65
    \\\\\\\\\\\\\\\\
    -0.65
     Bri
    -0.64
    POSITIVE LOGITS
    erers
    1.31
    ocating
    1.23
    erer
    1.20
    ocation
    1.12
    iments
    1.08
    ocated
    1.03
    rage
    1.02
    rag
    1.00
    ixed
    0.95
    iment
    0.94
    Activations Density 0.028%

    No Known Activations