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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. 13997
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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 @ 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
    ategory
    -0.80
    iferation
    -0.77
    hyde
    -0.65
    atto
    -0.63
    =-=-=-=-=-=-=-=-
    -0.63
    ataka
    -0.63
     Leilan
    -0.62
    iolet
    -0.62
     Infinity
    -0.61
    ¥ŀ
    -0.61
    POSITIVE LOGITS
    spring
    1.11
    esley
    0.98
    ards
    0.90
    enough
    0.82
    planned
    0.77
    come
    0.75
    reads
    0.74
    marked
    0.74
     suited
    0.73
    above
    0.73
    Activations Density 0.034%

    No Known Activations