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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. 11-RES-JB
    11. 14633
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    Explanations

    numeric references to financial values

    oai_token-act-pair · gpt-3.5-turbo

    references to financial deficits and economic measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.89
    ĪĴ
    -0.73
    WAYS
    -0.73
    osate
    -0.70
    ocol
    -0.70
    ĨĴ
    -0.67
    assetsadobe
    -0.67
    otech
    -0.67
    authent
    -0.64
    isters
    -0.63
    POSITIVE LOGITS
     deficit
    1.02
     reduction
    1.00
     incurred
    0.98
     shortfall
    0.98
     multiplier
    0.93
     ratio
    0.90
     widened
    0.89
     ceiling
    0.87
     surplus
    0.83
     deficits
    0.82
    Activations Density 0.049%

    No Known Activations