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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. 20786
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    INDEX
    Explanations

    adjectives describing extremity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various 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
    iments
    -0.80
    angles
    -0.79
    arten
    -0.76
    etsk
    -0.75
    reports
    -0.75
     amounts
    -0.74
    ATURES
    -0.73
    Effects
    -0.72
    ources
    -0.70
     Examples
    -0.69
    POSITIVE LOGITS
     bunch
    0.93
     dozen
    0.90
     nutshell
    0.88
     single
    0.86
     century
    0.85
     multitude
    0.83
     few
    0.83
     couple
    0.82
     thousand
    0.82
     nonexistent
    0.82
    Activations Density 0.209%

    No Known Activations