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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. 6392
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    Explanations

    words related to professions or fields of expertise, specifically professionals such as dieticians and musicians

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical professionals

    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
     zones
    -0.68
     zoning
    -0.63
     Stuff
    -0.60
     takedown
    -0.60
     zone
    -0.59
     stout
    -0.58
     rapt
    -0.57
     min
    -0.57
     TIM
    -0.57
     Draft
    -0.57
    POSITIVE LOGITS
    ician
    4.35
    icians
    4.17
    icia
    1.90
    icist
    1.47
    ically
    1.39
    icals
    1.31
    ical
    1.30
    ICAL
    1.28
    icity
    1.20
    icism
    1.12
    Activations Density 0.020%

    No Known Activations