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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. 2338
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    INDEX
    Explanations

    comparative adjectives related to quantity or degree

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    the frequency of the word "much" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Languages
    -0.77
    ruby
    -0.76
     Tags
    -0.72
    iasco
    -0.68
     Mechanics
    -0.67
     Releases
    -0.66
     Acquisition
    -0.66
     Attacks
    -0.65
    opoulos
    -0.65
     Emblem
    -0.64
    POSITIVE LOGITS
     larger
    1.23
     broader
    1.22
     bigger
    1.21
     narrower
    1.19
     wider
    1.19
     simpler
    1.16
     tighter
    1.14
     smaller
    1.14
     clearer
    1.13
     stricter
    1.13
    Activations Density 0.058%

    No Known Activations