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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. 10294
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    Explanations

    mentions of the morning time period

    oai_token-act-pair · gpt-3.5-turbo

    the recurrent theme of "morning" in various contexts

    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
    adr
    -0.92
    obal
    -0.87
    imony
    -0.74
    paralle
    -0.74
    pmwiki
    -0.73
    BuyableInstoreAndOnline
    -0.72
    egal
    -0.70
    rero
    -0.70
    ategory
    -0.70
    ignty
    -0.69
    POSITIVE LOGITS
     commute
    0.99
     mornings
    0.98
     morning
    0.91
     hours
    0.89
     sickness
    0.89
     sunrise
    0.88
    noon
    0.88
    morning
    0.85
     fog
    0.85
     hour
    0.83
    Activations Density 0.038%

    No Known Activations