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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. 11-RES-JB
    11. 1166
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    Explanations

    words related to additional information or elaboration

    oai_token-act-pair · gpt-3.5-turbo

    the term "Further" followed by numbers indicating additional information or continuation in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esar
    -0.73
    cius
    -0.64
    pei
    -0.64
    pas
    -0.63
    pron
    -0.62
    essor
    -0.62
    /"
    -0.61
    Temp
    -0.61
    OA
    -0.59
    lication
    -0.58
    POSITIVE LOGITS
     Reading
    1.29
     compl
    1.01
     reading
    0.97
     ado
    0.96
     readings
    0.93
     subdiv
    0.85
     investigation
    0.84
     examination
    0.83
     refinement
    0.81
     complicate
    0.81
    Activations Density 0.023%

    No Known Activations