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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15201
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    Explanations

    phrases related to making choices or trade-offs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to trade-offs and evaluations of value

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bered
    -0.74
    urses
    -0.73
    arus
    -0.73
    late
    -0.71
    liter
    -0.69
    miah
    -0.68
    bill
    -0.68
    attery
    -0.65
    bus
    -0.65
    estic
    -0.65
    POSITIVE LOGITS
     downside
    0.92
     why
    0.86
     Problem
    0.83
    why
    0.83
     WHY
    0.79
     weaknesses
    0.78
     lesson
    0.78
    Problem
    0.76
     drawback
    0.76
     takeaway
    0.75
    Activations Density 0.531%

    No Known Activations