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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. 9-RES-JB
    11. 5966
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    INDEX
    Explanations

    mentions of speed or speed-related concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to speed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.76
    pty
    -0.74
    itably
    -0.71
    eryl
    -0.71
    vironment
    -0.70
    itable
    -0.69
    utical
    -0.69
    rons
    -0.68
    rien
    -0.67
    ĸļ
    -0.67
    POSITIVE LOGITS
    running
    1.13
    runs
    0.95
    boats
    0.94
    loader
    0.94
    ometer
    0.92
    iest
    0.92
    wagon
    0.91
    boat
    0.89
    ily
    0.86
    ier
    0.85
    Activations Density 0.046%

    No Known Activations