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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. 3-RES-JB
    11. 8774
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    INDEX
    Explanations

    mentions of a group or quantity without specifying the exact number

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "some."

    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
    tainment
    -0.79
    uyomi
    -0.76
    ocene
    -0.75
    raid
    -0.69
    uckle
    -0.66
    gon
    -0.66
    enance
    -0.64
    ves
    -0.63
    ettes
    -0.62
    66666666
    -0.61
    POSITIVE LOGITS
    how
    0.96
    ones
    0.93
    body
    0.91
     semblance
    0.88
    place
    0.88
     unspecified
    0.78
    HOW
    0.77
    ESA
    0.72
    ONE
    0.68
     provinces
    0.68
    Activations Density 0.105%

    No Known Activations