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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. 7162
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    INDEX
    Explanations

    phrases related to consumption of food or drinks

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of consumption

    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
    Not in Any Lists

    No Comments

    Negative Logits
    amer
    -0.71
     awarding
    -0.70
    ĪĴ
    -0.67
    vet
    -0.67
    inosaur
    -0.66
    ofi
    -0.64
    ilater
    -0.64
     Kov
    -0.64
    hift
    -0.64
    plom
    -0.63
    POSITIVE LOGITS
     habits
    1.46
     patterns
    1.17
     Disorder
    1.02
     behaviours
    1.02
     Patterns
    1.02
     disorders
    0.98
     disorder
    0.96
     behaviors
    0.95
     cessation
    0.93
     trends
    0.87
    Activations Density 0.076%

    No Known Activations