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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. 9-RES-JB
    11. 5045
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    Explanations

    numeric values that are related to medical, technical, or financial contexts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to health and emotional well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imately
    -0.75
    bidden
    -0.73
    çĶ°
    -0.70
    untled
    -0.70
     Sapphire
    -0.68
    gettable
    -0.67
    putable
    -0.66
    ãĥ´ãĤ¡
    -0.65
    nick
    -0.65
    ateful
    -0.65
    POSITIVE LOGITS
    vironments
    0.80
    esp
    0.68
    ancies
    0.67
     alike
    0.65
    chains
    0.64
     transfers
    0.63
     therapy
    0.62
     solutions
    0.62
     schemes
    0.62
     interventions
    0.61
    Activations Density 0.737%

    No Known Activations