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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. 15041
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    INDEX
    Explanations

    the specific model "GT 9" within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific car model or category

    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
    ufact
    -1.00
    tical
    -0.77
    Downloadha
    -0.76
    ously
    -0.74
    theless
    -0.73
    taining
    -0.71
     MSM
    -0.69
     aver
    -0.68
    ividual
    -0.67
    pron
    -0.67
    POSITIVE LOGITS
    FO
    0.94
    opher
    0.86
    TER
    0.84
    LM
    0.83
    TH
    0.83
    ECH
    0.82
    GT
    0.81
    agne
    0.78
    ilde
    0.76
    amera
    0.76
    Activations Density 0.018%

    No Known Activations