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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. 7-RES-JB
    6. 24320
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    Explanations

    names related to historical figures and locations, especially those related to Franco or Monroe

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals and locations, particularly focusing on "Franco" and "Monroe."

    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
    backer
    -0.89
    gered
    -0.83
    TON
    -0.83
    bow
    -0.81
    gers
    -0.78
    haw
    -0.78
    gb
    -0.78
    gence
    -0.77
    acket
    -0.77
    aways
    -0.76
    POSITIVE LOGITS
     nomine
    0.74
     Vie
    0.73
     Monteneg
    0.70
     Rossi
    0.69
     Barbar
    0.68
     Galile
    0.66
     Kov
    0.66
     horr
    0.65
     MacDonald
    0.64
     Pav
    0.64
    Activations Density 0.064%

    No Known Activations