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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. 921
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    Explanations

    instances where the word "hold" appears in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "hold"

    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
    issance
    -0.87
    obo
    -0.71
    ipher
    -0.69
    Tro
    -0.65
    asus
    -0.65
    anwhile
    -0.65
    ruary
    -0.63
    ãĤ¡
    -0.63
    schild
    -0.63
    inators
    -0.62
    POSITIVE LOGITS
    erness
    1.10
    hold
    1.09
     onto
    1.07
    overs
    0.96
    fast
    0.94
    still
    0.94
    holders
    0.94
    holder
    0.93
     hold
    0.85
     accountable
    0.84
    Activations Density 0.066%

    No Known Activations