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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. 11527
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    INDEX
    Explanations

    adjectives related to product features and quality

    oai_token-act-pair · gpt-3.5-turbo

    positive reviews about the quality of various features in products

    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
    thinkable
    -0.81
     Syndrome
    -0.76
    wives
    -0.71
    daq
    -0.69
    Semitism
    -0.69
     Rebell
    -0.68
    election
    -0.67
     syndrome
    -0.66
    birth
    -0.66
    Economic
    -0.66
    POSITIVE LOGITS
     interchangeable
    0.94
     noticeably
    0.88
     unchanged
    0.85
     muted
    0.83
     nicely
    0.83
     crisp
    0.80
     wonderfully
    0.79
     varied
    0.78
     adjustable
    0.77
     sparse
    0.77
    Activations Density 0.549%

    No Known Activations