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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10258
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    Explanations

    promotional content and marketing-related terms

    oai_token-act-pair · gpt-3.5-turbo

    elements related to media content and subscription prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kindly
    -0.56
     Avenger
    -0.56
    ,,,,
    -0.56
    adobe
    -0.56
     respectively
    -0.55
     Gamer
    -0.53
    intend
    -0.51
     Enlightenment
    -0.50
     Noir
    -0.50
     Astro
    -0.50
    POSITIVE LOGITS
     WATCHED
    0.81
    zens
    0.76
    htaking
    0.67
    ideshow
    0.67
     VIDEO
    0.65
    anyahu
    0.62
     WATCH
    0.62
    Inside
    0.62
    etta
    0.61
    chen
    0.61
    Activations Density 0.104%

    No Known Activations