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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. 1-RES-JB
    11. 6626
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    INDEX
    Explanations

    keywords related to investigations and probes

    oai_token-act-pair · gpt-3.5-turbo

    references to investigative actions or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.73
    raid
    -0.72
    Rocket
    -0.70
     Czech
    -0.68
    ----------------------------------------------------------------
    -0.67
    Redditor
    -0.65
    NES
    -0.63
    BN
    -0.63
    Canadian
    -0.63
     Croat
    -0.63
    POSITIVE LOGITS
    ettings
    1.39
    hips
    1.32
    uggest
    1.32
    ometimes
    1.18
    afety
    1.11
    paces
    1.11
    chool
    1.06
    hops
    0.98
    cale
    0.97
    hooting
    0.95
    Activations Density 0.104%

    No Known Activations