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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. 5548
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    Explanations

    sentences expressing strong emphasis or significance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "a [adjective]" indicating notable descriptions

    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
    wr
    -0.71
    scl
    -0.70
    Autom
    -0.69
    analy
    -0.66
    then
    -0.65
     exceeded
    -0.64
     horizont
    -0.64
    ":[
    -0.64
    Develop
    -0.60
    Mania
    -0.59
    POSITIVE LOGITS
     mistake
    1.06
     contribution
    1.02
     mockery
    0.98
     fuss
    0.97
     comeback
    0.92
     difference
    0.91
     fortune
    0.89
     splash
    0.88
     pilgrimage
    0.88
     concerted
    0.88
    Activations Density 0.054%

    No Known Activations