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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. 1396
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    INDEX
    Explanations

    terms or phrases that act as indicators, often related to measurements or assessments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to indicators or metrics

    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
    ernel
    -0.83
    ©¶æ
    -0.82
    frey
    -0.81
    lishing
    -0.77
    awar
    -0.74
    atche
    -0.71
    ategory
    -0.71
    POSE
    -0.69
    orld
    -0.69
    cow
    -0.69
    POSITIVE LOGITS
     indicators
    1.08
     markers
    0.96
     indicator
    0.95
     gauge
    0.86
     marker
    0.86
     Signs
    0.72
     cues
    0.72
    posts
    0.71
    icator
    0.70
     sidebar
    0.67
    Activations Density 0.036%

    No Known Activations