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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    instances of the word "reading"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "reading" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erto
    -0.82
    horn
    -0.65
    itte
    -0.64
    lam
    -0.64
    backer
    -0.63
    andowski
    -0.61
    olve
    -0.61
    venge
    -0.61
    cash
    -0.61
    letal
    -0.61
    POSITIVE LOGITS
     reading
    3.83
     readings
    2.46
     Reading
    2.42
    Reading
    2.36
    reading
    2.29
     read
    2.04
     reads
    1.85
     listening
    1.80
     viewing
    1.75
     reader
    1.71
    Activations Density 0.010%

    No Known Activations