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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. 2-RES-JB
    11. 14453
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    Explanations

    specifically mentioned features or details

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize specificity in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unts
    -0.80
    76561
    -0.75
    $.
    -0.72
    lyn
    -0.69
    Afee
    -0.66
     Bronx
    -0.65
    assic
    -0.62
    ozo
    -0.62
     Stockholm
    -0.61
    gers
    -0.61
    POSITIVE LOGITS
    abulary
    0.92
    æ©Ł
    0.87
    htaking
    0.85
     nomine
    0.83
    insula
    0.80
    rontal
    0.78
    wcs
    0.77
    quartered
    0.76
    phabet
    0.73
    encies
    0.72
    Activations Density 0.006%

    No Known Activations