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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. 3-RES-JB
    11. 7182
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    Explanations

    technical terms related to predictions or estimations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to forecasts or predictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.92
    keeper
    -0.73
    baum
    -0.70
    lean
    -0.70
    anguages
    -0.70
    uckle
    -0.69
    chip
    -0.69
    oho
    -0.69
    ste
    -0.68
    ppa
    -0.68
    POSITIVE LOGITS
     projections
    1.03
     projection
    0.96
     projecting
    0.84
     projected
    0.83
     Archdemon
    0.75
     outward
    0.70
     upwards
    0.70
     visions
    0.66
     vision
    0.66
    eus
    0.65
    Activations Density 0.010%

    No Known Activations