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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. 1-RES-JB
    11. 21120
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    INDEX
    Explanations

    positive attributes or commendations

    oai_token-act-pair · gpt-3.5-turbo

    the word "but" used to introduce contrasts or exceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agra
    -0.67
    roy
    -0.66
    wall
    -0.61
    Eye
    -0.61
    ath
    -0.61
    analysis
    -0.61
    ump
    -0.60
    entry
    -0.59
    onomy
    -0.59
    VERTISEMENT
    -0.59
    POSITIVE LOGITS
    tons
    1.09
     alas
    0.97
     nevertheless
    0.84
     hey
    0.83
    chery
    0.83
     luckily
    0.83
     fortunately
    0.76
     thankfully
    0.72
     nonetheless
    0.72
     unfortunately
    0.70
    Activations Density 0.174%

    No Known Activations