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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" in the text

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

    No Comments

    Negative Logits
    gur
    -0.71
    aukee
    -0.62
    andem
    -0.62
    ega
    -0.61
    Guard
    -0.60
     redes
    -0.59
     sob
    -0.57
     Himself
    -0.57
     Alto
    -0.56
    andering
    -0.56
    POSITIVE LOGITS
     although
    0.73
     they
    0.65
    bleacher
    0.65
     contradicts
    0.63
    /+
    0.63
     whereas
    0.62
    eday
    0.62
     anecd
    0.60
    izoph
    0.59
    âĨij
    0.59
    Activations Density 0.225%

    No Known Activations