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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. 3-RES-JB
    11. 14741
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to health and medicine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     FANT
    -0.58
    GROUP
    -0.56
    direction
    -0.55
     Inquiry
    -0.55
    FAULT
    -0.55
    Ĭ±
    -0.55
     Lifetime
    -0.55
     Mistress
    -0.55
    below
    -0.54
    Dim
    -0.54
    POSITIVE LOGITS
    htaking
    0.70
    vine
    0.69
    uity
    0.69
    isode
    0.68
    borough
    0.68
    hots
    0.66
     eater
    0.63
    tro
    0.62
    hes
    0.61
    beans
    0.61
    Activations Density 0.668%

    No Known Activations