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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. 12-RES-JB
    11. 4603
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    quotation marks and indications of speech within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     metic
    -0.79
     millenn
    -0.77
     dense
    -0.71
     tall
    -0.69
     behavi
    -0.69
     few
    -0.69
     nostalgia
    -0.69
     citiz
    -0.67
     vague
    -0.67
     bitter
    -0.66
    POSITIVE LOGITS
    take
    1.47
    make
    1.47
    seek
    1.46
    continue
    1.46
    give
    1.44
    create
    1.43
    keep
    1.41
    speak
    1.40
    raise
    1.39
    bring
    1.39
    Activations Density 0.116%

    No Known Activations