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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. 23702
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    INDEX
    Explanations

    occurrences of specific phrases mentioning obtaining items or information

    oai_token-act-pair · gpt-3.5-turbo

    opportunities and offers related to content availability

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.58
    itored
    -0.57
    ornings
    -0.56
     exacerbated
    -0.55
     bolstered
    -0.54
    xtap
    -0.53
     overwhel
    -0.53
     strengthened
    -0.51
    phasis
    -0.49
     deterrent
    -0.49
    POSITIVE LOGITS
     ______
    0.61
     pokemon
    0.61
     Unicode
    0.59
    Pokémon
    0.59
     Pokémon
    0.58
     english
    0.58
     Xiaomi
    0.58
     crochet
    0.58
     awesome
    0.57
     Anime
    0.57
    Activations Density 1.246%

    No Known Activations