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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. 6-RES-JB
    11. 14905
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    characters and symbols, possibly related to coding or technical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ierrez
    -0.82
    Downloadha
    -0.81
    icipated
    -0.77
    hetically
    -0.76
    essim
    -0.76
    thood
    -0.74
    luster
    -0.73
    hetical
    -0.73
    ategory
    -0.71
    ugi
    -0.71
    POSITIVE LOGITS
    ×Ļ×
    0.78
    oxide
    0.65
    ×Ļ
    0.63
    issance
    0.61
    afort
    0.60
    pher
    0.60
    ophon
    0.60
    mud
    0.59
     Ernst
    0.58
     Globe
    0.58
    Activations Density 0.622%

    No Known Activations