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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. 4-RES-JB
    11. 164
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    Explanations

    numbers or statistics mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to quantitative data or statistics

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

    No Comments

    Negative Logits
    ModLoader
    -0.78
    INTON
    -0.74
    nee
    -0.70
    rib
    -0.65
    atever
    -0.65
    ¯¯
    -0.64
    missible
    -0.64
    ichen
    -0.64
    sole
    -0.64
    anism
    -0.63
    POSITIVE LOGITS
     numbers
    0.99
     Numbers
    0.98
    metry
    0.81
     percentages
    0.79
    paces
    0.76
     figures
    0.76
    omial
    0.75
     averages
    0.75
    ynthesis
    0.73
     digits
    0.72
    Activations Density 0.022%

    No Known Activations