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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. 4903
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    phabet
    -0.72
    alog
    -0.72
    alogy
    -0.67
    itiz
    -0.65
    alties
    -0.65
     Parables
    -0.65
    Reviewer
    -0.62
    respective
    -0.62
    athe
    -0.62
    ity
    -0.62
    POSITIVE LOGITS
     noon
    1.48
     midday
    1.46
     midnight
    1.43
     dusk
    1.30
     sunset
    1.21
     dawn
    1.11
     sunrise
    1.10
     Midnight
    1.00
     Noon
    0.97
     midway
    0.97
    Activations Density 0.099%

    No Known Activations