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    1. Home
    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. 700
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    INDEX
    Explanations

    mentions of appearances or features in different media

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and variations of the phrase structure involving appearances in contexts

    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
     teamwork
    -0.68
     assured
    -0.66
     maintained
    -0.64
     persever
    -0.64
     accommod
    -0.63
     respecting
    -0.62
    .–
    -0.62
     mortg
    -0.62
     manipulation
    -0.62
     mishand
    -0.61
    POSITIVE LOGITS
    Picture
    0.91
    OPLE
    0.81
    ¥µ
    0.74
     Cele
    0.73
     Playboy
    0.72
    DAQ
    0.71
    ARA
    0.71
    DragonMagazine
    0.70
     Occupations
    0.70
    ivals
    0.69
    Activations Density 0.177%

    No Known Activations