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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. 13793
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    Explanations

    words related to methods or approaches, especially when describing how something is done or should be done

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of methods or approaches

    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
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.78
    iffs
    -0.75
     Medals
    -0.64
     Cells
    -0.63
    headers
    -0.62
    merga
    -0.62
    bid
    -0.62
    sov
    -0.61
    onday
    -0.60
    anamo
    -0.60
    POSITIVE LOGITS
     reminiscent
    1.16
     akin
    1.10
     comparable
    1.06
     analogous
    1.02
     unmatched
    1.01
     unheard
    1.01
     resembling
    0.99
     unimaginable
    0.96
     unparalleled
    0.94
     similar
    0.91
    Activations Density 0.183%

    No Known Activations