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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 14434
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    INDEX
    Explanations

    words related to various types of employment, work conditions, environmental impact, and social issues

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to employment and its surrounding social and environmental implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tains
    -0.77
    -+
    -0.64
    ITNESS
    -0.58
    Ħ¢
    -0.57
    ãĥ¤
    -0.56
    ranch
    -0.55
    orney
    -0.55
    ãĥª
    -0.55
    adesh
    -0.53
    apter
    -0.52
    POSITIVE LOGITS
     and
    0.95
     whereas
    0.85
     because
    0.83
     but
    0.78
     while
    0.69
     whereby
    0.68
     although
    0.67
     throughout
    0.66
     whilst
    0.65
     insofar
    0.65
    Activations Density 1.106%

    No Known Activations