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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. 2409
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    INDEX
    Explanations

    mentions of structured runs with associated activities like running music and coaching

    oai_token-act-pair · gpt-3.5-turbo

    references to notable entities or subjects

    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
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    No Comments

    Negative Logits
    rencies
    -0.76
     PRO
    -0.70
    é¾
    -0.70
    folio
    -0.69
    eur
    -0.67
    dain
    -0.67
    adr
    -0.66
    ioxide
    -0.64
    ignant
    -0.63
    ctors
    -0.63
    POSITIVE LOGITS
    Moon
    0.71
     Claw
    0.66
     Jed
    0.62
     monkeys
    0.62
     Dip
    0.61
    oola
    0.61
     Speedway
    0.61
     Coffin
    0.61
    Reviewer
    0.60
     Melody
    0.58
    Activations Density 0.000%

    No Known Activations