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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
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    Explanations

    the word "and" with high activation

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and."

    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
     bore
    -0.66
     disple
    -0.66
    fort
    -0.63
    tails
    -0.60
     Lot
    -0.59
    SEA
    -0.58
    ersed
    -0.58
    IFA
    -0.56
     levied
    -0.56
     minus
    -0.55
    POSITIVE LOGITS
    ocene
    0.75
    ioxide
    0.73
     Worker
    0.67
     Trance
    0.67
     Fired
    0.64
    attr
    0.64
    ikk
    0.63
    uden
    0.62
    ="#
    0.61
    icz
    0.61
    Activations Density 0.000%

    No Known Activations