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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. 10-RES-JB
    11. 5363
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    INDEX
    Explanations

    negations with subsequent actions or consequences referenced in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases with high-frequency punctuation and conjunction patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eco
    -0.78
    auri
    -0.78
    ruck
    -0.67
    arthy
    -0.63
    eele
    -0.60
    tal
    -0.60
    ammy
    -0.59
    uman
    -0.58
    aled
    -0.57
    ¥
    -0.57
    POSITIVE LOGITS
     nor
    1.79
     preferring
    1.62
    nor
    1.46
     opting
    1.37
    Instead
    1.23
     Instead
    1.22
     Nor
    1.16
     instead
    1.13
     fearing
    1.13
    yet
    1.09
    Activations Density 0.273%

    No Known Activations