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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. 7-RES-JB
    11. 19245
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    Explanations

    phrases related to percentage changes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating percentage changes or increases/decreases in data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rology
    -0.76
    ivia
    -0.71
    eral
    -0.69
    argon
    -0.68
    tarian
    -0.68
    rained
    -0.68
    meat
    -0.67
    ritis
    -0.65
    finished
    -0.65
    ptions
    -0.65
    POSITIVE LOGITS
     virtue
    1.02
     leaps
    0.94
     fiat
    0.80
     2030
    0.77
     multiplying
    0.75
     2050
    0.73
     2025
    0.71
     20
    0.69
     fractions
    0.68
    illac
    0.65
    Activations Density 0.063%

    No Known Activations