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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. 1-RES-JB
    11. 12841
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations or experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rand
    -0.66
    holder
    -0.64
    holders
    -0.63
     Cabin
    -0.63
    prints
    -0.62
    hold
    -0.62
     Ahead
    -0.62
     Updates
    -0.62
    Boost
    -0.62
     POS
    -0.61
    POSITIVE LOGITS
     Solitaire
    0.70
    pter
    0.68
     Sutherland
    0.65
    psons
    0.65
     amph
    0.63
    ingo
    0.62
     divest
    0.61
    vier
    0.60
     abstinence
    0.58
    bish
    0.58
    Activations Density 0.000%

    No Known Activations