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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

    references to various types of threats

    oai_token-act-pair · gpt-3.5-turbo

    references to various kinds of threats

    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
    -0.74
    ricks
    -0.73
    arist
    -0.72
    uties
    -0.72
    puted
    -0.71
    bits
    -0.69
    urses
    -0.68
    raham
    -0.68
    unes
    -0.68
    Band
    -0.68
    POSITIVE LOGITS
     threat
    1.15
     threats
    1.03
     Threat
    1.02
    threat
    1.00
     posed
    0.92
     deterrent
    0.89
    crow
    0.87
     menace
    0.79
     glare
    0.78
     challeng
    0.78
    Activations Density 0.024%

    No Known Activations