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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. 10-RES-JB
    6. 2954
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    Explanations

    references to individuals named "Grant."

    oai_token-act-pair · gpt-3.5-turbo

    references to grants and funding sources

    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
    spection
    -0.69
    acters
    -0.65
     ammonia
    -0.64
     Beaut
    -0.64
     Sins
    -0.63
    eteria
    -0.62
     pneum
    -0.62
     abdom
    -0.61
    thel
    -0.60
    otta
    -0.60
    POSITIVE LOGITS
    ees
    1.15
    ee
    0.96
    lee
    0.86
     Thornton
    0.85
    aire
    0.83
    Grant
    0.83
    zeb
    0.77
    ENCY
    0.76
     recipients
    0.75
    elson
    0.74
    Activations Density 0.053%

    No Known Activations