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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. 7-RES-JB
    11. 5081
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    INDEX
    Explanations

    statistics and numbers in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    numerical data regarding political support or statistics

    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
     Annotations
    -0.71
     +++
    -0.70
     Lans
    -0.64
     Transcript
    -0.63
     Anonymous
    -0.61
     Disclosure
    -0.61
     Mass
    -0.61
     Bro
    -0.59
     Transfer
    -0.59
     tomorrow
    -0.59
    POSITIVE LOGITS
    trak
    1.07
    MSN
    0.94
    yang
    0.93
    hement
    0.87
    ngth
    0.83
    zed
    0.80
    ecided
    0.79
     tradem
    0.78
    anooga
    0.78
    amera
    0.77
    Activations Density 0.708%

    No Known Activations