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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. 12-RES-JB
    11. 4127
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    Explanations

    mentions of capturing or capturing devices

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    variations of the word "capture."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bye
    -0.67
     solicitation
    -0.64
     safety
    -0.63
     bilateral
    -0.62
     crowdfunding
    -0.60
     philanthrop
    -0.59
     retail
    -0.58
     parking
    -0.57
     cler
    -0.57
     deaf
    -0.57
    POSITIVE LOGITS
    ivating
    1.61
    ivated
    1.55
    urable
    1.39
    ions
    1.37
    ured
    1.33
    ains
    1.25
    cha
    1.25
    uring
    1.24
    ivation
    1.21
    ained
    1.19
    Activations Density 0.023%

    No Known Activations