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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. 8-RES-JB
    11. 4185
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    Explanations

    numbers in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical data associated with statistics or counts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.73
    ulet
    -0.71
    sole
    -0.67
    iona
    -0.66
    andowski
    -0.66
     Bened
    -0.65
    pson
    -0.64
    infeld
    -0.64
    allo
    -0.62
    inery
    -0.61
    POSITIVE LOGITS
     lbs
    0.89
    ths
    0.86
     pounds
    0.83
    lbs
    0.80
     crore
    0.80
     ±
    0.77
     acres
    0.76
    /-
    0.76
     sq
    0.75
     yuan
    0.74
    Activations Density 0.082%

    No Known Activations