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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. 3-RES-JB
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    Explanations

    words related to threats or instances of threatening behavior

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "threatened" and associated contexts of intimidation or danger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mys
    -0.98
    gart
    -0.89
    arist
    -0.85
    puted
    -0.82
    algia
    -0.77
    mot
    -0.75
    bits
    -0.73
    angles
    -0.70
    urgy
    -0.69
    aho
    -0.68
    POSITIVE LOGITS
     challeng
    0.91
     threats
    0.89
     threatened
    0.88
     endanger
    0.85
     Threat
    0.85
     threaten
    0.84
    threat
    0.82
     adolesc
    0.81
     threatens
    0.81
     proble
    0.78
    Activations Density 0.022%

    No Known Activations