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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. 23185
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    INDEX
    Explanations

    instances of the word "came" followed by a number indicating the strength of occurrence

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "came"

    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
    Discuss
    -0.64
    original
    -0.62
    stated
    -0.61
    bush
    -0.60
    fters
    -0.60
    versible
    -0.59
    shown
    -0.59
    assert
    -0.57
    Yellow
    -0.56
    dden
    -0.56
    POSITIVE LOGITS
     downstairs
    0.90
     INTO
    0.86
     home
    0.85
     aboard
    0.83
     undone
    0.81
     hither
    0.81
     nearer
    0.81
     ashore
    0.80
     knocking
    0.79
     closer
    0.78
    Activations Density 0.085%

    No Known Activations