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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. 5858
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    Explanations

    instances of actions being recounted in a narrative format

    oai_token-act-pair · gpt-3.5-turbo

    verbs that imply quick action or urgency

    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
    selves
    -0.69
     unison
    -0.57
    lords
    -0.56
    ewater
    -0.56
    results
    -0.56
     generations
    -0.56
    \.
    -0.56
     Programme
    -0.55
    ".[
    -0.55
     Entered
    -0.54
    POSITIVE LOGITS
     himself
    0.82
     lawy
    0.75
     happiest
    0.69
    spoken
    0.65
     undergo
    0.64
     pals
    0.63
     hitch
    0.62
    ertodd
    0.62
     fluent
    0.62
     befriend
    0.61
    Activations Density 0.935%

    No Known Activations