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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. 15466
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    Explanations

    words related to the conclusion or final part of a series or event

    oai_token-act-pair · gpt-3.5-turbo

    terms related to finales and climactic events in narratives

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oster
    -0.73
    uid
    -0.72
    guns
    -0.70
    old
    -0.70
    ements
    -0.69
    unal
    -0.69
    Cola
    -0.68
    olds
    -0.68
    otle
    -0.67
    urg
    -0.67
    POSITIVE LOGITS
    EStream
    0.78
     Blair
    0.77
    ascus
    0.73
     Ples
    0.72
     Appears
    0.71
    arium
    0.71
    anches
    0.69
    ittal
    0.69
     [|
    0.69
     Royale
    0.67
    Activations Density 0.052%

    No Known Activations