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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 5892
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    Explanations

    Roman numerals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letters "i" in various sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boards
    -0.74
    lins
    -0.70
    lain
    -0.68
    light
    -0.67
    rant
    -0.67
    insula
    -0.65
    orie
    -0.65
    lights
    -0.64
    meyer
    -0.64
    ride
    -0.62
    POSITIVE LOGITS
    iii
    1.03
    ii
    0.95
    ñ
    0.84
    ye
    0.77
    ppe
    0.73
    yah
    0.73
    wi
    0.72
    ya
    0.71
    iking
    0.71
    iting
    0.71
    Activations Density 0.023%

    No Known Activations