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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. 7-RES-JB
    11. 8658
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    Explanations

    mentions of events happening late at night

    oai_token-act-pair · gpt-3.5-turbo

    references to "late night" shows or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikk
    -0.83
    ebook
    -0.80
    edIn
    -0.80
    achu
    -0.78
    roma
    -0.76
     Pwr
    -0.75
    icles
    -0.75
    alon
    -0.73
    qua
    -0.73
    ICS
    -0.72
    POSITIVE LOGITS
     afternoon
    1.07
     nights
    0.89
     night
    0.87
     evening
    0.84
     antiquity
    0.82
     evenings
    0.81
     morning
    0.76
     adolescence
    0.75
     enough
    0.73
     hours
    0.72
    Activations Density 0.030%

    No Known Activations