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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. 10-RES-JB
    11. 8185
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    Explanations

    phrases related to research, analysis, and examination

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "of" related to reviews or analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    _(
    -0.63
    rio
    -0.62
    few
    -0.62
    rollers
    -0.62
    bender
    -0.61
    paces
    -0.60
    externalActionCode
    -0.60
    thing
    -0.60
    forts
    -0.60
    oult
    -0.59
    POSITIVE LOGITS
     how
    0.94
     sorts
    0.87
     why
    0.79
     extant
    0.77
     whether
    0.76
     what
    0.75
     the
    0.74
     trends
    0.72
     existing
    0.71
     contemporary
    0.70
    Activations Density 0.155%

    No Known Activations