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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. 1259
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    Explanations

    adjectives describing the size or amount of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to varying amounts and types of monetary values

    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
     theories
    -0.82
    stories
    -0.81
     processes
    -0.81
    artifacts
    -0.79
    places
    -0.78
     routines
    -0.77
    laws
    -0.75
     Modes
    -0.75
    apons
    -0.75
     Causes
    -0.75
    POSITIVE LOGITS
     subsidy
    1.34
     payout
    1.32
     rebate
    1.24
     bribe
    1.23
     sum
    1.23
     deduction
    1.21
     infusion
    1.21
     increase
    1.20
     penalty
    1.18
     payoff
    1.16
    Activations Density 0.207%

    No Known Activations