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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. 0-RES-JB
    11. 6206
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    Explanations

    phrases related to technical or mechanical components

    oai_token-act-pair · gpt-3.5-turbo

    words related to roles, professions, or functions within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weddings
    -0.76
     ceilings
    -0.76
    images
    -0.74
     worship
    -0.72
     funer
    -0.71
     churches
    -0.71
     campuses
    -0.67
     regimes
    -0.66
     iPads
    -0.66
     deaths
    -0.65
    POSITIVE LOGITS
    orer
    1.83
    atcher
    1.73
    ulator
    1.72
    iator
    1.68
    emaker
    1.66
    angler
    1.63
    uler
    1.61
     loader
    1.58
    maker
    1.55
    aler
    1.54
    Activations Density 0.071%

    No Known Activations