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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
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    Explanations

    phrases indicating a strong negative emotional response

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "upset."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     livest
    -0.86
    glas
    -0.86
    istered
    -0.72
    atures
    -0.72
    gart
    -0.71
     liner
    -0.71
    audi
    -0.70
    icrobial
    -0.70
    gravity
    -0.70
    acons
    -0.70
    POSITIVE LOGITS
    dy
    0.91
    der
    0.73
    ingly
    0.73
     upset
    0.72
     uproar
    0.69
    wart
    0.67
     Wasserman
    0.66
    bur
    0.65
     stomach
    0.65
    Brexit
    0.64
    Activations Density 0.015%

    No Known Activations