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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 8046
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    Explanations

    numbers mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "numbers."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nee
    -0.74
    Interstitial
    -0.72
    ModLoader
    -0.72
     Shroud
    -0.70
    POSE
    -0.68
    INTON
    -0.68
    clair
    -0.66
    struction
    -0.66
    Cast
    -0.65
    ISSION
    -0.64
    POSITIVE LOGITS
     numbers
    1.03
     Numbers
    0.94
    paces
    0.85
     digits
    0.82
    pace
    0.81
    omial
    0.80
    peak
    0.80
    peed
    0.78
     percentages
    0.76
     averages
    0.75
    Activations Density 0.019%

    No Known Activations