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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8333
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and limitations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erie
    -0.79
    ģ
    -0.74
    boss
    -0.71
    way
    -0.68
    о
    -0.66
    ways
    -0.64
    opard
    -0.63
    RECT
    -0.63
    stration
    -0.63
    Ģ
    -0.63
    POSITIVE LOGITS
    kinson
    0.84
    acebook
    0.75
    itance
    0.75
    steen
    0.70
    ï¸
    0.69
    uitous
    0.69
    strap
    0.69
    heric
    0.69
    ites
    0.68
    ensable
    0.68
    Activations Density 0.055%

    No Known Activations