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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 1483
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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
    selves
    -0.63
     Wand
    -0.63
     Ange
    -0.63
     Nieto
    -0.62
     Coil
    -0.62
     Uz
    -0.62
     Philips
    -0.62
     vinegar
    -0.62
     discont
    -0.61
     Haz
    -0.61
    POSITIVE LOGITS
    raising
    1.63
    ament
    1.45
    amental
    1.43
    aci
    1.17
    raise
    1.09
    aments
    1.09
    acion
    1.08
    raised
    1.01
    rolled
    1.00
    estones
    0.90
    Activations Density 0.046%

    No Known Activations