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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. 9-RES-JB
    11. 19595
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    Explanations

    proper nouns in the form of names of places or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to superheroes and fictional media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquette
    -0.93
    SHARE
    -0.73
    isks
    -0.71
     thanking
    -0.68
     informing
    -0.67
     conversation
    -0.61
    iculty
    -0.61
     Conversation
    -0.61
    ENSE
    -0.59
    appiness
    -0.59
    POSITIVE LOGITS
     hybrids
    0.93
    abouts
    0.92
    quished
    0.90
     TBA
    0.88
     thereof
    0.84
     asteroids
    0.76
    rador
    0.75
     extinct
    0.74
     independents
    0.70
    £ı
    0.70
    Activations Density 0.673%

    No Known Activations