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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. 11-RES-JB
    11. 5821
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    INDEX
    Explanations

    sentences referencing the concept of being the best or worst in a comparison

    oai_token-act-pair · gpt-3.5-turbo

    indicators of assessment or evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igious
    -0.75
    hran
    -0.75
    anches
    -0.73
    ront
    -0.72
    orney
    -0.69
    pine
    -0.68
    ilitary
    -0.64
    ãĥ¥
    -0.64
    iry
    -0.64
     pent
    -0.63
    POSITIVE LOGITS
     Best
    1.96
    Best
    1.94
    best
    1.94
     BEST
    1.85
     best
    1.79
     Better
    1.56
    worst
    1.51
     Worst
    1.51
    Better
    1.51
     worst
    1.49
    Activations Density 0.126%

    No Known Activations