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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. 23259
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    Explanations

    mentions of seasoning or flavor-enhancing additions to food

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of "iments," particularly related to experiences and conditions

    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
    PE
    -0.70
    å¸
    -0.65
    ILLE
    -0.64
    AMS
    -0.63
    Brand
    -0.63
    uckland
    -0.63
    HEAD
    -0.63
     downloadable
    -0.62
    WHERE
    -0.62
     scr
    -0.62
    POSITIVE LOGITS
    iment
    1.80
    iments
    1.41
    imental
    1.17
    opol
    0.99
    ation
    0.96
    rait
    0.96
    uary
    0.95
    mble
    0.90
    ial
    0.89
    ifact
    0.87
    Activations Density 0.007%

    No Known Activations