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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. 8-RES-JB
    11. 1088
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    Explanations

    words related to sharpness

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to sharpness or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uthor
    -0.77
    FORE
    -0.75
    pty
    -0.74
    ORED
    -0.73
     Alive
    -0.70
    YL
    -0.68
    ptions
    -0.68
     Leia
    -0.65
    ccess
    -0.65
    isSpecialOrderable
    -0.63
    POSITIVE LOGITS
    ened
    1.35
    ening
    1.23
    est
    1.14
    ness
    1.12
    ener
    1.10
    eners
    0.89
    nesses
    0.87
    edo
    0.87
     elbows
    0.86
     edges
    0.86
    Activations Density 0.037%

    No Known Activations