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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. 0-RES-JB
    11. 9993
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    Explanations

    the name "Ca9plan"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of calcium

    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
    gamer
    -0.89
    externalActionCode
    -0.79
    Ł
    -0.73
    OTUS
    -0.73
    ãĥĥ
    -0.66
    ohl
    -0.66
    OUGH
    -0.64
    oman
    -0.63
    ower
    -0.62
    UTE
    -0.62
    POSITIVE LOGITS
     Ca
    3.86
    Ca
    2.78
    ca
    1.59
     ca
    1.50
     CA
    1.46
     calcium
    1.20
    CA
    1.19
     Fe
    1.16
     Caesar
    1.13
     Pa
    1.11
    Activations Density 0.013%

    No Known Activations