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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. 23047
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    Explanations

    words related to physical movement or changes happening quickly

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "tumble"

    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
    nesota
    -0.87
    essee
    -0.75
    nor
    -0.74
    zie
    -0.73
    tan
    -0.71
    nect
    -0.71
    ffield
    -0.71
    xon
    -0.66
    efficient
    -0.66
    SW
    -0.64
    POSITIVE LOGITS
    Berry
    0.81
    umble
    0.79
     Doodle
    0.79
    umbled
    0.76
    weed
    0.74
     inco
    0.72
    umbles
    0.71
     fumble
    0.70
    bly
    0.70
    DERR
    0.69
    Activations Density 0.007%

    No Known Activations