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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. 12616
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    Explanations

    technical terms related to military equipment or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to military technology or equipment

    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
    EStream
    -0.74
     fixation
    -0.66
     deductible
    -0.64
     training
    -0.64
     rocky
    -0.64
    ĻĤ
    -0.63
     advisory
    -0.63
    anchester
    -0.63
     confirmation
    -0.62
     derivative
    -0.61
    POSITIVE LOGITS
    algia
    0.79
     ItemLevel
    0.71
    stra
    0.70
    ause
    0.69
    pins
    0.68
    conn
    0.66
    stro
    0.66
    ÃĽ
    0.66
     Christensen
    0.65
    Äį
    0.65
    Activations Density 0.000%

    No Known Activations