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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. 4-RES-JB
    6. 8176
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    Explanations

    phrases related to data management and ethical practices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various practices and methodologies

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

    No Comments

    Negative Logits
    otos
    -0.78
    ilee
    -0.77
    amen
    -0.72
    lein
    -0.70
    bid
    -0.69
    amaz
    -0.68
    DonaldTrump
    -0.67
    zie
    -0.67
    gin
    -0.66
    itialized
    -0.65
    POSITIVE LOGITS
     Practices
    0.99
     practices
    0.91
    hops
    0.90
    onduct
    0.86
    afety
    0.79
    uits
    0.74
     governing
    0.72
     violations
    0.72
    iblings
    0.70
    olicy
    0.70
    Activations Density 0.019%

    No Known Activations