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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. 2090
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    INDEX
    Explanations

    adjectives related to measurement or assessment

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate accuracy, improvement, or positive evaluation

    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
    laws
    -1.05
    redients
    -0.99
    things
    -0.97
    hops
    -0.97
    links
    -0.96
    lees
    -0.94
    artifacts
    -0.94
    boats
    -0.93
    stories
    -0.93
    ifles
    -0.92
    POSITIVE LOGITS
     outcome
    1.40
     result
    1.28
     estimate
    1.23
     ratio
    1.22
     approximation
    1.15
     rate
    1.14
     payoff
    1.14
     representation
    1.12
     conclusion
    1.09
     score
    1.08
    Activations Density 0.254%

    No Known Activations