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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. 16727
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    INDEX
    Explanations

    phrases indicating a significant degree or amount

    oai_token-act-pair · gpt-3.5-turbo

    the word "quite" and its various usages in context

    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
    ULTS
    -0.82
    elsen
    -0.78
     DRAG
    -0.77
    venant
    -0.75
    PLIED
    -0.70
    ulkan
    -0.68
    erson
    -0.68
    owe
    -0.67
    ocene
    -0.67
    ppo
    -0.65
    POSITIVE LOGITS
     frankly
    1.09
     literally
    0.87
     possibly
    0.82
     alright
    0.81
     nice
    0.73
     awhile
    0.70
     chilly
    0.69
     nifty
    0.69
     sizeable
    0.69
     nicely
    0.69
    Activations Density 0.026%

    No Known Activations