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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. 17212
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    INDEX
    Explanations

    mentions of medals, specifically bronze ones

    oai_token-act-pair · gpt-3.5-turbo

    references to bronze medals or awards

    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
    ged
    -0.99
    AMI
    -0.92
    eering
    -0.83
    ging
    -0.80
    atical
    -0.80
    ination
    -0.77
    inating
    -0.76
    hips
    -0.75
    inations
    -0.74
    rosc
    -0.73
    POSITIVE LOGITS
    OPLE
    0.92
    phrine
    0.78
    ãĥ©ãĥ³
    0.77
    entimes
    0.74
     Vaugh
    0.73
    Ô
    0.72
     Tone
    0.68
    theless
    0.67
    figure
    0.67
     Centauri
    0.64
    Activations Density 0.093%

    No Known Activations