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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. 9-RES-JB
    11. 17341
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    Explanations

    financial terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to inclusion in various contexts, particularly emphasizing elements that are counted or accounted for

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ynchron
    -0.73
    chester
    -0.70
    MpServer
    -0.69
    ents
    -0.66
    Eva
    -0.64
     Dragonbound
    -0.63
    demon
    -0.63
    BUG
    -0.60
    itent
    -0.60
    esa
    -0.60
    POSITIVE LOGITS
     calculations
    1.03
     equation
    0.91
     discussions
    0.86
     calculation
    0.84
     totals
    0.84
     consideration
    0.79
     reckoning
    0.79
     calculus
    0.78
     analyses
    0.77
     calculating
    0.76
    Activations Density 0.191%

    No Known Activations