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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. 23451
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    Explanations

    specific amounts or numerical values mentioned in a structured format like prices, measurements, blocks, and times

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and related measurements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    chest
    -0.71
    hist
    -0.71
    SPONSORED
    -0.68
    tracks
    -0.65
    ailable
    -0.64
    ãĥ«
    -0.64
    catching
    -0.64
     lookout
    -0.63
    ãĥĦ
    -0.63
    think
    -0.62
    POSITIVE LOGITS
     increments
    0.96
     ±
    0.90
     apiece
    0.85
     Radius
    0.85
     TBA
    0.81
    /$
    0.79
     Avg
    0.77
     total
    0.73
    bps
    0.69
     âľĶ
    0.69
    Activations Density 0.097%

    No Known Activations