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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. 1-RES-JB
    6. 6183
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    Explanations

    references to well-being and related concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to well-being

    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
    NRS
    -0.69
     Oops
    -0.67
    oslov
    -0.66
    PsyNetMessage
    -0.65
     Wick
    -0.65
    sonian
    -0.60
     peak
    -0.59
    ulla
    -0.59
     fold
    -0.58
     Lilly
    -0.58
    POSITIVE LOGITS
     able
    0.89
    quished
    0.89
     Able
    0.75
    ibe
    0.73
    hemoth
    0.72
    terness
    0.72
    omorph
    0.72
     eaten
    0.71
    peria
    0.71
    Angelo
    0.71
    Activations Density 0.010%

    No Known Activations