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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. 6-RES-JB
    11. 825
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    Explanations

    phrases questioning or discussing different perspectives or considerations

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "What about" followed by various topics or subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    cil
    -0.79
    cc
    -0.72
    cycle
    -0.69
    orge
    -0.68
    arm
    -0.67
     guiActiveUnfocused
    -0.66
    KO
    -0.65
    River
    -0.65
    photo
    -0.65
    cius
    -0.64
    POSITIVE LOGITS
    !?
    0.67
    ...?
    0.67
    ?]
    0.66
     Ambro
    0.66
     fairness
    0.65
    bourg
    0.62
    !?"
    0.61
     HIP
    0.60
    pload
    0.59
    illon
    0.58
    Activations Density 0.029%

    No Known Activations