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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. 4-RES-JB
    11. 12510
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    Explanations

    financial rewards or winnings

    oai_token-act-pair · gpt-3.5-turbo

    references to prizes and awards

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

    No Comments

    Negative Logits
    66666666
    -0.77
    icago
    -0.70
    ynthesis
    -0.69
     Ange
    -0.68
    20439
    -0.67
     Sakuya
    -0.66
    omes
    -0.65
    ths
    -0.65
    aturdays
    -0.64
    ahime
    -0.64
    POSITIVE LOGITS
     prizes
    1.15
     prize
    1.12
     awarded
    1.08
     awards
    0.95
     winner
    0.94
     winners
    0.92
     purse
    0.88
     award
    0.86
     Winner
    0.85
     Prize
    0.85
    Activations Density 0.009%

    No Known Activations