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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. 16554
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    Explanations

    the word "no" with various intensities of activation

    oai_token-act-pair · gpt-3.5-turbo

    the word "no" in various contexts

    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
    ahime
    -0.79
    imbabwe
    -0.69
    Untitled
    -0.67
    ospons
    -0.62
    ALE
    -0.62
    imir
    -0.62
    aughtered
    -0.61
    achusetts
    -0.61
    igan
    -0.61
    ËĪ
    -0.60
    POSITIVE LOGITS
     matter
    1.31
     kidding
    1.17
     doubt
    1.07
     longer
    1.04
    xious
    0.98
     disrespect
    0.98
     wonder
    0.95
     worries
    0.93
     excuses
    0.87
     exceptions
    0.85
    Activations Density 0.062%

    No Known Activations