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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. 1402
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    Explanations

    last names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    ModLoader
    -0.69
     FANTASY
    -0.49
     apex
    -0.46
     symbolism
    -0.45
     hindsight
    -0.44
     polar
    -0.44
     alleg
    -0.44
     millennials
    -0.44
    Scotland
    -0.43
     clubhouse
    -0.43
    POSITIVE LOGITS
    inski
    0.75
    endor
    0.72
    mann
    0.71
    itz
    0.70
    ovich
    0.69
    auer
    0.68
    zinski
    0.67
    zynski
    0.67
    orst
    0.66
     (@
    0.66
    Activations Density 0.625%

    No Known Activations