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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. 10-RES-JB
    11. 4786
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    phrases related to movement and direction

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illac
    -0.93
    anova
    -0.79
    ebook
    -0.75
    LESS
    -0.74
    interstitial
    -0.74
    heses
    -0.73
    minist
    -0.73
    ploma
    -0.70
    essential
    -0.69
     Emblem
    -0.68
    POSITIVE LOGITS
     air
    1.48
     sea
    1.46
     atmosphere
    1.45
     skies
    1.45
     sky
    1.43
     ocean
    1.40
     heavens
    1.24
     lake
    1.23
     water
    1.18
     waters
    1.18
    Activations Density 0.231%

    No Known Activations