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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. 20207
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    Explanations

    phrases indicating contrasting or opposing viewpoints

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repetition or reconsideration

    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
    arching
    -0.76
    ailable
    -0.73
    vasive
    -0.66
    urate
    -0.63
    eatured
    -0.62
    bind
    -0.62
    foreseen
    -0.62
    ocrine
    -0.61
    kefeller
    -0.58
    idespread
    -0.57
    POSITIVE LOGITS
     maybe
    0.88
    adays
    0.75
     suppose
    0.73
     guess
    0.70
    âĢ¦)
    0.66
     neither
    0.65
    ,...
    0.64
    maybe
    0.64
     nobody
    0.64
     why
    0.63
    Activations Density 0.064%

    No Known Activations