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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. 7-RES-JB
    11. 9653
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.79
    ĪĴ
    -0.75
     Bangl
    -0.69
     Annex
    -0.63
    ŃĶ
    -0.61
    ItemThumbnailImage
    -0.60
     Mub
    -0.59
     Sovere
    -0.59
    mosp
    -0.58
     Nadu
    -0.57
    POSITIVE LOGITS
    enhagen
    1.10
    wald
    0.89
    heit
    0.74
     von
    0.73
    owship
    0.72
    erella
    0.71
    nir
    0.70
    ruary
    0.70
    andise
    0.70
    atton
    0.68
    Activations Density 0.152%

    No Known Activations