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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. 1-RES-JB
    11. 3369
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    Explanations

    phrases related to visual projections or forecasting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to projections and forecasts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.84
    lean
    -0.76
    âĵĺ
    -0.75
    vette
    -0.73
    uckle
    -0.72
     Vale
    -0.71
    pton
    -0.70
    avis
    -0.70
    nee
    -0.70
    mega
    -0.68
    POSITIVE LOGITS
     projections
    1.48
     projection
    1.34
     projecting
    1.09
     projected
    0.93
     projector
    0.88
     forecasts
    0.77
     Archdemon
    0.72
     wip
    0.71
     vision
    0.71
     predictions
    0.70
    Activations Density 0.003%

    No Known Activations