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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. 7-RES-JB
    11. 14103
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    Explanations

    terms related to articles, publications, and column sections

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social issues and advocacy

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    xit
    -0.71
    enery
    -0.64
     fitt
    -0.64
     weap
    -0.61
     kil
    -0.59
     airst
    -0.58
     physically
    -0.58
     shave
    -0.57
     Rebell
    -0.57
     substituted
    -0.57
    POSITIVE LOGITS
     podcasts
    0.90
    podcast
    0.83
     podcast
    0.81
     Journalism
    0.74
     Podcast
    0.72
     journalism
    0.72
     synd
    0.71
     blogging
    0.71
     blog
    0.71
     nerd
    0.70
    Activations Density 1.251%

    No Known Activations