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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
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    oai_token-act-pair · gpt-3.5-turbo

    specific codes or identifiers related to a list of items or products

    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
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    Negative Logits
    enegger
    -0.76
    hower
    -0.76
    interstitial
    -0.72
    govtrack
    -0.69
    stones
    -0.67
    kas
    -0.65
    yards
    -0.63
    claw
    -0.62
    ãĥ´
    -0.62
    kaya
    -0.61
    POSITIVE LOGITS
    OPA
    0.93
    BN
    0.86
    IME
    0.76
    ITION
    0.69
    VP
    0.68
    UB
    0.67
    igma
    0.66
    ventures
    0.66
    ternity
    0.65
    ZE
    0.64
    Activations Density 0.106%

    No Known Activations