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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. 11-RES-JB
    11. 5465
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    Explanations

    medical or scientific terms related to anatomy or research

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical, legal, and systemic concepts associated with risk and damage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -0.93
    unal
    -0.83
    abet
    -0.82
    rooms
    -0.82
    room
    -0.80
    edo
    -0.76
    uni
    -0.76
    ateur
    -0.75
    oho
    -0.75
    Ľ
    -0.75
    POSITIVE LOGITS
     warfare
    0.67
     sickness
    0.65
     effect
    0.63
     events
    0.60
     event
    0.60
     standpoint
    0.60
     hazard
    0.59
     issue
    0.58
     nature
    0.57
     bullshit
    0.57
    Activations Density 0.450%

    No Known Activations