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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. 24174
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    Explanations

    words related to physical movement or action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "w"

    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
     Lumpur
    -0.77
     fracturing
    -0.71
    pora
    -0.66
     culp
    -0.64
     succeeding
    -0.64
     depri
    -0.62
     Lama
    -0.62
     duplication
    -0.61
    ãĤŃ
    -0.61
     Aram
    -0.61
    POSITIVE LOGITS
    ither
    1.22
    atts
    1.16
    idd
    1.09
    itty
    1.05
    atson
    1.04
    ithering
    1.03
    irts
    1.03
    iggle
    1.02
    igg
    1.01
    urst
    1.00
    Activations Density 0.016%

    No Known Activations