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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. 10-RES-JB
    11. 12228
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    Explanations

    numeric values related to employment statistics, such as job counts and earnings

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to employment and demographic statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     swast
    -0.67
     cheers
    -0.67
     cipher
    -0.67
     Chaos
    -0.66
     imagination
    -0.65
     Discord
    -0.64
     mustache
    -0.64
     Kub
    -0.64
     Judd
    -0.63
     Chess
    -0.62
    POSITIVE LOGITS
    level
    1.32
    income
    1.19
    quality
    1.15
    based
    1.15
    grade
    1.15
    specific
    1.13
    area
    1.12
    performing
    1.11
    related
    1.09
    serving
    1.08
    Activations Density 0.173%

    No Known Activations