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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. 1-RES-JB
    11. 525
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    INDEX
    Explanations

    references to prizes or rewards

    oai_token-act-pair · gpt-3.5-turbo

    mentions of prizes or awards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.89
    rises
    -0.73
    66666666
    -0.69
    omes
    -0.68
    20439
    -0.67
    den
    -0.66
    sen
    -0.65
    atters
    -0.64
    ths
    -0.62
    aturdays
    -0.61
    POSITIVE LOGITS
     prize
    1.37
     prizes
    1.30
     Prize
    1.02
     awarded
    1.00
     awards
    0.97
     award
    0.95
     medal
    0.89
    Winner
    0.88
     winner
    0.86
     winners
    0.86
    Activations Density 0.005%

    No Known Activations