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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. 7-RES-JB
    11. 18614
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    Explanations

    words related to public statements or opinions

    oai_token-act-pair · gpt-3.5-turbo

    instances of comments or remarks in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ISH
    -0.71
    ccording
    -0.70
    fruit
    -0.68
    bid
    -0.68
     Recon
    -0.65
    PG
    -0.65
    riz
    -0.65
     Corsair
    -0.64
     Brill
    -0.63
    ishes
    -0.63
    POSITIVE LOGITS
     uttered
    0.99
     remarks
    0.93
     comments
    0.88
     aloud
    0.88
    ariat
    0.73
     regarding
    0.72
    aturday
    0.70
     pertaining
    0.70
     dispar
    0.69
     attributed
    0.68
    Activations Density 0.040%

    No Known Activations