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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. 4-RES-JB
    11. 16109
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    earchers
    -0.83
    assetsadobe
    -0.71
    ennes
    -0.67
    acists
    -0.63
    anwhile
    -0.61
    rought
    -0.61
    ifles
    -0.60
    enne
    -0.59
    oved
    -0.59
    ufact
    -0.58
    POSITIVE LOGITS
    sense
    0.86
     noises
    0.75
    ãĥĥãĤ¯
    0.75
     dent
    0.69
     impression
    0.65
     adjustments
    0.64
    Wan
    0.63
     contribution
    0.63
    pair
    0.62
     richer
    0.62
    Activations Density 0.248%

    No Known Activations