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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. 1-RES-JB
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    Explanations

    words related to catastrophic events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "tragedy" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipher
    -0.91
    aton
    -0.85
    lav
    -0.78
    orney
    -0.77
    aver
    -0.76
    collar
    -0.76
    elled
    -0.76
    igree
    -0.75
    cul
    -0.72
    axis
    -0.72
    POSITIVE LOGITS
     tragedy
    1.10
     tragedies
    0.93
     Royale
    0.85
     traged
    0.85
     perpetrated
    0.79
     spree
    0.78
     plag
    0.76
     attRot
    0.76
     catastrophe
    0.75
     toll
    0.75
    Activations Density 0.014%

    No Known Activations