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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. 9-RES-JB
    11. 23198
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    INDEX
    Explanations

    emotional responses related to memory triggers

    oai_token-act-pair · gpt-3.5-turbo

    elements of surprise or unexpected information in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itiz
    -0.62
     openness
    -0.60
     stakes
    -0.59
    ictive
    -0.59
     shuttle
    -0.58
     unfinished
    -0.58
     mediation
    -0.58
    TPS
    -0.57
     clans
    -0.56
     leverage
    -0.55
    POSITIVE LOGITS
    erning
    0.77
     cringe
    0.71
     familiar
    0.70
     scoff
    0.68
    enance
    0.68
    joice
    0.68
     appalled
    0.67
    ustomed
    0.67
     suffice
    0.67
     attest
    0.67
    Activations Density 0.451%

    No Known Activations