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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. 8772
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    Explanations

    phrases related to superlatives and comparisons such as "the most", "the best" and "the highest"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance or prominence of certain subjects or objects

    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
    ooter
    -0.85
    ĸļ
    -0.78
    ée
    -0.74
    livion
    -0.73
    CLE
    -0.71
    cation
    -0.69
    ategory
    -0.68
    ared
    -0.68
    ume
    -0.67
    load
    -0.66
    POSITIVE LOGITS
     heaviest
    1.13
     hars
    1.07
     smartest
    1.05
     earliest
    1.04
     toughest
    1.04
     brightest
    1.04
     finest
    1.02
     strongest
    1.02
     darkest
    0.95
     poorest
    0.94
    Activations Density 0.114%

    No Known Activations