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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. 10-RES-JB
    11. 8334
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to academic research and contributions from universities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPA
    -0.84
     voic
    -0.82
    imon
    -0.73
    soType
    -0.72
    inventoryQuantity
    -0.71
     precedence
    -0.70
     Compensation
    -0.69
     BELOW
    -0.69
     Reserved
    -0.68
     Seat
    -0.68
    POSITIVE LOGITS
     devised
    1.29
     pioneered
    1.27
     experimented
    1.21
     researchers
    1.20
    Researchers
    1.19
     discovered
    1.18
     resear
    1.17
     scientists
    1.14
     excav
    1.14
     experiment
    1.09
    Activations Density 0.356%

    No Known Activations