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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. 1-RES-JB
    11. 8597
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    Explanations

    references to professionals in the field of engineering

    oai_token-act-pair · gpt-3.5-turbo

    mentions of engineers in various contexts

    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
    eworld
    -0.81
    ca
    -0.76
    given
    -0.73
     Sheen
    -0.72
    vic
    -0.72
     Territories
    -0.71
    ctuary
    -0.71
    ita
    -0.70
    co
    -0.66
    å¹
    -0.64
    POSITIVE LOGITS
     engineers
    1.03
    rador
    1.03
     engineer
    0.99
     mathemat
    0.87
     technician
    0.87
    anooga
    0.86
     jargon
    0.84
    rats
    0.84
    Engineers
    0.83
     Doodle
    0.82
    Activations Density 0.007%

    No Known Activations