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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. 8-RES-JB
    11. 4118
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    Explanations

    mentions of specific settings or locations within a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific settings in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilee
    -0.87
    hammad
    -0.82
    ible
    -0.82
    igent
    -0.74
    usterity
    -0.71
    agan
    -0.71
    actus
    -0.71
    assic
    -0.70
    ymph
    -0.70
    ertodd
    -0.69
    POSITIVE LOGITS
     conducive
    0.82
     aside
    0.73
     setting
    0.72
    Setting
    0.67
     backdrop
    0.67
     Setting
    0.66
     Spray
    0.65
     forth
    0.62
     overrun
    0.62
     sun
    0.60
    Activations Density 0.038%

    No Known Activations