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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. 2-RES-JB
    11. 5746
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    Explanations

    percentages mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    percentage figures and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    çīĪ
    -0.71
    rael
    -0.68
    pires
    -0.64
     skelet
    -0.63
     short
    -0.63
    ding
    -0.62
     detrim
    -0.62
    zbollah
    -0.61
     swift
    -0.58
    gin
    -0.58
    POSITIVE LOGITS
    ecided
    0.86
    elsius
    0.79
    %)
    0.78
    \<
    0.77
    %,
    0.76
    %.
    0.75
    ï¸ı
    0.74
    %),
    0.72
    %).
    0.72
    ordable
    0.71
    Activations Density 0.015%

    No Known Activations