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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 17393
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    INDEX
    Explanations

    mentions of burning or fire-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of burning or being burned

    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
    berman
    -0.71
     Chomsky
    -0.68
    thus
    -0.66
     Architects
    -0.65
    UFC
    -0.64
    atem
    -0.64
    plom
    -0.64
    Republic
    -0.63
    egal
    -0.63
    legal
    -0.63
    POSITIVE LOGITS
     burn
    1.21
     burned
    1.19
     burns
    1.14
    burning
    1.06
     burning
    1.04
     burnt
    1.03
    ished
    0.96
     burner
    0.92
    burn
    0.87
    nesday
    0.83
    Activations Density 0.008%

    No Known Activations