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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. 6-RES-JB
    6. 17267
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    Explanations

    email communications and related actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "email" and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     idols
    -0.71
    otin
    -0.71
    Tags
    -0.63
    rogens
    -0.62
     needles
    -0.62
    cest
    -0.61
    Os
    -0.61
     practitioners
    -0.60
     devs
    -0.59
     incumb
    -0.59
    POSITIVE LOGITS
    terday
    0.75
    Ñı
    0.73
     statement
    0.73
     behalf
    0.72
    amera
    0.71
    witz
    0.71
    vich
    0.71
    ixties
    0.71
    yssey
    0.71
     emailed
    0.70
    Activations Density 0.096%

    No Known Activations