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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. 10-RES-JB
    11. 12472
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    INDEX
    Explanations

    user engagement prompts or calls to action within text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to subscribing or signing up for newsletters

    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
    tro
    -0.58
     fin
    -0.57
    idence
    -0.56
    gypt
    -0.55
    nil
    -0.54
    otrop
    -0.54
     condu
    -0.53
    anus
    -0.53
     incidentally
    -0.52
     fortune
    -0.52
    POSITIVE LOGITS
    ificantly
    1.01
    atures
    0.96
    ature
    0.89
     Petition
    0.87
    ific
    0.87
    atories
    0.82
    ging
    0.76
    Email
    0.74
    imentary
    0.73
    aling
    0.73
    Activations Density 0.015%

    No Known Activations