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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. 4-RES-JB
    11. 16456
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    INDEX
    Explanations

    attributes or characteristics related to varying levels or types of something

    oai_token-act-pair · gpt-3.5-turbo

    variables and expectations related to contextual factors

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

    No Comments

    Negative Logits
    ovember
    -0.80
    wash
    -0.76
    culosis
    -0.75
    naissance
    -0.74
    Sov
    -0.73
    moon
    -0.71
    hov
    -0.69
    perse
    -0.69
    nesday
    -0.68
    Ń·
    -0.67
    POSITIVE LOGITS
     variables
    0.88
     behaviours
    0.84
     preferences
    0.83
     differently
    0.83
     perceptions
    0.83
     accordingly
    0.81
     traits
    0.80
     characteristics
    0.79
     facets
    0.78
     attributes
    0.78
    Activations Density 0.770%

    No Known Activations