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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. 3916
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    Explanations

    email subscription prompts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "email."

    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
    liga
    -0.68
    rans
    -0.68
    steen
    -0.66
    TRY
    -0.66
    ktop
    -0.60
    hma
    -0.60
     Galile
    -0.59
    abouts
    -0.58
    manship
    -0.57
    stru
    -0.56
    POSITIVE LOGITS
     inbox
    0.97
     address
    0.84
    email
    0.84
     subscribers
    0.80
     newsletters
    0.73
     addresses
    0.73
     Birch
    0.72
    address
    0.72
     alerts
    0.71
     email
    0.71
    Activations Density 0.014%

    No Known Activations