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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. 1-RES-JB
    11. 6711
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    Explanations

    numeric values related to weight

    oai_token-act-pair · gpt-3.5-turbo

    words related to measurement and weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.69
    href
    -0.69
     Ink
    -0.67
     Scrib
    -0.65
     Esp
    -0.65
     Tul
    -0.64
    esan
    -0.64
    ually
    -0.62
    vious
    -0.62
    protected
    -0.61
    POSITIVE LOGITS
     weigh
    1.63
     weighed
    1.22
     weighing
    1.22
    ighed
    1.21
     weighs
    1.08
     corrid
    0.93
     scales
    0.85
     tremend
    0.84
     heaviest
    0.84
     weights
    0.82
    Activations Density 0.009%

    No Known Activations