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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. 0-RES-JB
    11. 12109
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    Explanations

    words related to threats or potential harm

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with risks and threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ouse
    -0.69
     Include
    -0.68
     based
    -0.65
     Twe
    -0.64
    Ey
    -0.64
     Abram
    -0.63
    ICE
    -0.62
     purchased
    -0.62
     implemented
    -0.61
    olars
    -0.60
    POSITIVE LOGITS
     danger
    3.64
     peril
    2.55
     dangers
    2.50
    danger
    2.21
     Danger
    2.13
     jeopardy
    2.12
     menace
    1.91
     threat
    1.84
     hazards
    1.75
     temptation
    1.73
    Activations Density 0.015%

    No Known Activations