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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. 940
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    Explanations

    references to the morning time of day

    oai_token-act-pair · gpt-3.5-turbo

    references to the morning

    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
    adr
    -0.90
    obal
    -0.85
    egal
    -0.80
    afort
    -0.79
    ignty
    -0.78
    ssl
    -0.77
    rants
    -0.74
    perse
    -0.73
    bard
    -0.73
    ombat
    -0.72
    POSITIVE LOGITS
     commute
    1.00
     mornings
    1.00
    noon
    0.97
     sickness
    0.96
     morning
    0.94
     sunrise
    0.92
     twilight
    0.87
    morning
    0.85
     fog
    0.84
     hours
    0.84
    Activations Density 0.042%

    No Known Activations