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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. 6-RES-JB
    11. 3010
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    Explanations

    present tense words related to actions or events occurring at some point in time

    oai_token-act-pair · gpt-3.5-turbo

    key phrases related to media releases and announcements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hap
    -0.76
    advant
    -0.68
    odan
    -0.63
    ghazi
    -0.61
    ealous
    -0.61
    ertodd
    -0.60
    ety
    -0.60
    imal
    -0.59
    chuk
    -0.59
    ache
    -0.59
    POSITIVE LOGITS
     anthology
    1.15
     premie
    1.00
     premiere
    0.98
     paperback
    0.97
     installments
    0.93
     installment
    0.91
     collaborations
    0.90
     specials
    0.89
     edition
    0.86
     sequel
    0.86
    Activations Density 0.888%

    No Known Activations