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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. 1-RES-JB
    11. 9017
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    Explanations

    company or organization names containing the word "Con"

    oai_token-act-pair · gpt-3.5-turbo

    references to "con" or "conclusive" concepts and their variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.76
    EStream
    -0.71
     Slayer
    -0.65
     Ivory
    -0.65
     Sapphire
    -0.64
     Fenrir
    -0.64
     bushes
    -0.64
     Garner
    -0.63
    ewski
    -0.62
    cca
    -0.61
    POSITIVE LOGITS
    NECT
    1.27
    CON
    1.08
     CON
    0.97
    stant
    0.93
    FIG
    0.92
    CEPT
    0.90
    ventions
    0.90
    TERN
    0.90
    CLUS
    0.89
    iosyn
    0.89
    Activations Density 0.004%

    No Known Activations