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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. 3-RES-JB
    11. 8287
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    Explanations

    names of artists or creators mentioned

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "by" associated with authorship or contributions in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atem
    -0.76
    hement
    -0.76
    chwitz
    -0.75
    ndum
    -0.73
    imately
    -0.71
    imental
    -0.71
    bia
    -0.71
    itives
    -0.70
    inea
    -0.68
    asy
    -0.68
    POSITIVE LOGITS
     virtue
    1.10
    products
    0.93
    laws
    0.83
    product
    0.79
     selecting
    0.75
     STATS
    0.74
     default
    0.72
    catch
    0.71
     clicking
    0.71
    pass
    0.70
    Activations Density 0.239%

    No Known Activations