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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. 11-RES-JB
    11. 977
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctors
    -0.72
    Ī
    -0.69
    yz
    -0.68
    ochem
    -0.62
    ographers
    -0.61
    mington
    -0.61
    gebra
    -0.60
    efully
    -0.60
    worms
    -0.60
    ographically
    -0.60
    POSITIVE LOGITS
    hip
    1.84
    hips
    1.61
    '
    1.52
    pace
    1.50
    ']
    1.35
    paces
    1.33
    '/
    1.28
    '-
    1.23
    peak
    1.16
    cript
    1.13
    Activations Density 0.317%

    No Known Activations