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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 19185
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    INDEX
    Explanations

    contractions and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of uncertainty or doubt

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     targeting
    -0.74
     chopping
    -0.72
     aiming
    -0.68
     footing
    -0.65
     priorit
    -0.65
     overboard
    -0.64
     complying
    -0.62
     staging
    -0.62
     abandoning
    -0.62
     interfering
    -0.61
    POSITIVE LOGITS
     paraph
    0.94
     attest
    0.84
     quote
    0.80
     understatement
    0.79
     excerpt
    0.79
     vividly
    0.77
    credit
    0.77
     illust
    0.76
     hindsight
    0.75
    APH
    0.75
    Activations Density 0.684%

    No Known Activations