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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. 9-RES-JB
    11. 19836
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    INDEX
    Explanations

    statements about the uniqueness or individuality of people, situations, or entities

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing individuality and shared experiences among people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    only
    -0.88
    inth
    -0.73
    Only
    -0.72
    aye
    -0.69
    qus
    -0.68
    Dur
    -0.68
    null
    -0.67
    Loading
    -0.65
    nor
    -0.64
    Neither
    -0.64
    POSITIVE LOGITS
     imperfect
    0.81
     compromises
    0.78
     somewhere
    0.78
     conting
    0.75
     risks
    0.73
     possibility
    0.73
     undergo
    0.73
     temptation
    0.71
     contingency
    0.71
     strive
    0.70
    Activations Density 0.877%

    No Known Activations