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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. 0-RES-JB
    6. 24112
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    Explanations

    the name "Uma" in various contexts and mentions

    oai_token-act-pair · gpt-3.5-turbo

    the recurrence of the term "Zuma" related to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     check
    -0.77
     checks
    -0.64
     ply
    -0.61
     invent
    -0.61
     discoveries
    -0.61
     totals
    -0.60
     stocking
    -0.60
     Beck
    -0.60
     eas
    -0.60
     pred
    -0.59
    POSITIVE LOGITS
    uma
    4.68
    umatic
    1.99
    umat
    1.69
    um
    1.20
    uman
    1.18
    umi
    1.18
    umo
    1.16
    ema
    1.14
    ugi
    1.14
    uro
    1.13
    Activations Density 0.011%

    No Known Activations