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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. 10-RES-JB
    11. 3316
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SIGN
    -0.63
     deleg
    -0.62
     srfAttach
    -0.61
     nond
    -0.61
    ASED
    -0.61
     commons
    -0.60
    MENTS
    -0.58
     compr
    -0.58
     definite
    -0.57
    isSpecialOrderable
    -0.57
    POSITIVE LOGITS
    aurus
    1.57
    mith
    1.57
    kaya
    1.45
    peed
    1.44
    layer
    1.41
    peak
    1.38
    hip
    1.36
    hift
    1.35
    cale
    1.34
    ilver
    1.30
    Activations Density 0.215%

    No Known Activations