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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. 23442
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    Explanations

    linear patterns or structures within text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to linear and circular mathematical concepts or behaviors

    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
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    No Comments

    Negative Logits
    ittee
    -0.76
    cham
    -0.74
    emi
    -0.73
    hoff
    -0.72
    bourg
    -0.71
    ubs
    -0.68
    akura
    -0.68
    ortium
    -0.68
    reon
    -0.67
    rol
    -0.67
    POSITIVE LOGITS
    ity
    1.43
    ized
    1.29
    ities
    1.24
    ization
    1.24
    izable
    1.19
    izes
    1.03
    ITY
    1.02
    ised
    0.97
    izing
    0.97
    izers
    0.94
    Activations Density 0.065%

    No Known Activations