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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. 8918
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    INDEX
    Explanations

    instances of the word "hoping"

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or expectation for a positive outcome

    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
    versions
    -0.68
    inas
    -0.67
    css
    -0.67
    çİĭ
    -0.64
    edition
    -0.61
    ahime
    -0.61
    女
    -0.61
    ced
    -0.61
     Peninsula
    -0.61
    ippers
    -0.60
    POSITIVE LOGITS
    lessly
    0.83
     someday
    0.80
    reprene
    0.80
     unsuccessfully
    0.78
     fate
    0.67
     Gim
    0.66
     youngsters
    0.61
     desperately
    0.61
    ful
    0.60
    eful
    0.60
    Activations Density 0.039%

    No Known Activations