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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. 10-RES-JB
    6. 19427
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    INDEX
    Explanations

    acknowledging mastery or competence in handling tasks or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to managing or handling situations or responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ischer
    -0.78
    mpeg
    -0.73
    inet
    -0.71
    esis
    -0.68
    arine
    -0.65
    zyme
    -0.64
    ode
    -0.64
    zai
    -0.63
    hemat
    -0.62
    ony
    -0.62
    POSITIVE LOGITS
    bars
    1.14
     emergencies
    0.86
     responsibilities
    0.82
     complaints
    0.82
     paperwork
    0.79
     situations
    0.78
     sensitive
    0.77
     cases
    0.77
     inquiries
    0.77
     disputes
    0.77
    Activations Density 0.053%

    No Known Activations