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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. 23784
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    Explanations

    dates and specific events mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and nights in a chronological context

    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
    alach
    -0.94
    osponsors
    -0.81
    utenberg
    -0.77
    ategory
    -0.76
    agra
    -0.75
    negie
    -0.73
    ortium
    -0.73
    hesive
    -0.73
    aution
    -0.69
    artisan
    -0.67
    POSITIVE LOGITS
     occasions
    0.99
     eve
    0.96
     mornings
    0.94
     occasion
    0.90
    ieth
    0.79
     weekend
    0.75
     weekends
    0.75
     basis
    0.73
     Sabbath
    0.72
     Eve
    0.71
    Activations Density 0.128%

    No Known Activations