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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. 22677
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to measurements and percentages

    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
    ItemImage
    -0.75
    ercise
    -0.64
    nice
    -0.59
    akov
    -0.59
    perty
    -0.57
     indo
    -0.57
    jet
    -0.54
     Spect
    -0.53
     Spears
    -0.53
     tennis
    -0.52
    POSITIVE LOGITS
    xff
    1.32
    xa
    1.09
    xd
    1.07
    xc
    1.04
    xb
    0.99
    603
    0.92
    x
    0.90
    xe
    0.85
    755
    0.85
    644
    0.82
    Activations Density 0.042%

    No Known Activations