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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. 9-RES-JB
    11. 24127
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    INDEX
    Explanations

    information related to percentages and numerical data

    oai_token-act-pair · gpt-3.5-turbo

    specific classifications of rarity and commonality in content

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     alignment
    -0.67
     Brow
    -0.63
     tele
    -0.58
     trance
    -0.57
     altern
    -0.55
     trail
    -0.55
    orem
    -0.55
    ĸļ
    -0.54
     Rost
    -0.54
     sweats
    -0.53
    POSITIVE LOGITS
    eous
    0.76
    quickShipAvailable
    0.75
    nas
    0.74
    vernment
    0.71
    lycer
    0.70
    lio
    0.70
    ppe
    0.70
    vati
    0.69
    IME
    0.67
    ilitary
    0.67
    Activations Density 0.037%

    No Known Activations