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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. 4-RES-JB
    11. 9344
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    Explanations

    references to published content or reports

    oai_token-act-pair · gpt-3.5-turbo

    references to various publications or reports

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

    No Comments

    Negative Logits
    itialized
    -0.82
    eric
    -0.78
    hma
    -0.74
    heed
    -0.73
    llan
    -0.72
    olulu
    -0.70
    zh
    -0.70
    xa
    -0.69
    pell
    -0.67
    inho
    -0.66
    POSITIVE LOGITS
    lisher
    1.06
    lishing
    0.88
    lishes
    0.87
     publication
    0.79
    DragonMagazine
    0.75
    代
    0.74
     Publication
    0.72
     date
    0.70
    ablishment
    0.69
     publishes
    0.68
    Activations Density 0.010%

    No Known Activations