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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 12790
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific years related to events or statistics

    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
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    No Comments

    Negative Logits
    abulary
    -0.81
    hes
    -0.73
    ansk
    -0.69
    hed
    -0.69
    APH
    -0.67
     suppliers
    -0.64
     ancest
    -0.64
    arf
    -0.64
    anguage
    -0.63
     shutter
    -0.59
    POSITIVE LOGITS
     Rookie
    1.20
     playoffs
    1.03
    -'
    1.03
     season
    0.92
     Playoffs
    0.86
     rookie
    0.85
     offseason
    0.84
     postseason
    0.84
    eco
    0.81
     playoff
    0.80
    Activations Density 0.137%

    No Known Activations