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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. 21535
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    Explanations

    social media-related phrases inviting followers to engage by "following" or "joining."

    oai_token-act-pair · gpt-3.5-turbo

    references to social media engagement and community involvement

    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
    phies
    -0.62
    Args
    -0.60
    Mand
    -0.60
    ceivable
    -0.59
    ãĥŃ
    -0.59
     Genocide
    -0.58
    mounted
    -0.57
     Metallic
    -0.57
    icion
    -0.57
     Gathering
    -0.56
    POSITIVE LOGITS
    edin
    0.92
     collabor
    0.79
    selves
    0.77
     regularly
    0.75
     âĿ
    0.75
    anwhile
    0.73
    unes
    0.71
    aciously
    0.70
     securely
    0.70
    unal
    0.70
    Activations Density 0.048%

    No Known Activations