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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. 12097
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    Explanations

    phrases related to growth or increase in quantity or intensity

    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
    iddles
    -0.84
    events
    -0.74
    speak
    -0.73
    stories
    -0.71
     Tracks
    -0.71
    hops
    -0.69
    inances
    -0.67
    pages
    -0.65
    missions
    -0.64
    Ear
    -0.64
    POSITIVE LOGITS
     number
    1.77
     amount
    1.74
     assortment
    1.52
     variety
    1.47
     swath
    1.44
     proportion
    1.36
     array
    1.36
     quantity
    1.33
     subset
    1.33
     percentage
    1.31
    Activations Density 0.302%

    No Known Activations