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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 24570
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    INDEX
    Explanations

    calls to action phrases in marketing or advertising contexts

    oai_token-act-pair · gpt-3.5-turbo

    calls to action related to signing up for newsletters or subscriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dismant
    -0.69
     surv
    -0.62
     helic
    -0.61
     cultiv
    -0.55
     Fundamental
    -0.55
     disadvant
    -0.54
    amily
    -0.53
     luck
    -0.53
     funer
    -0.53
    workers
    -0.52
    POSITIVE LOGITS
    ificantly
    1.37
    atures
    1.24
    ature
    1.17
    ific
    1.17
     Up
    1.09
     up
    1.08
    up
    1.07
    ificant
    1.06
    alling
    0.97
    ups
    0.94
    Activations Density 0.017%

    No Known Activations