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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
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and notable names related to individuals, organizations, and entities

    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
    asted
    -0.94
    obook
    -0.87
    asting
    -0.87
    ears
    -0.84
    iaries
    -0.81
    asts
    -0.81
    astics
    -0.80
    endon
    -0.80
    ijah
    -0.79
    iary
    -0.79
    POSITIVE LOGITS
    hiro
    0.82
    manship
    0.78
    vich
    0.74
    yip
    0.74
    ptive
    0.74
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
    ptives
    0.71
     Cheong
    0.70
    phrine
    0.70
     ..............
    0.70
    Activations Density 0.036%

    No Known Activations