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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. 3-RES-JB
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    Explanations

    words containing the substring "ill"

    oai_token-act-pair · gpt-3.5-turbo

    the word "kill" or its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stacy
    -0.74
    EStream
    -0.72
    oÄŁ
    -0.71
    lished
    -0.64
    BOOK
    -0.64
    ngth
    -0.63
    Kings
    -0.63
     blockers
    -0.61
     compr
    -0.61
    linux
    -0.61
    POSITIVE LOGITS
    espie
    1.29
    uminati
    1.22
    icit
    1.08
    iard
    1.03
    inger
    0.99
    ustration
    0.98
    umin
    0.97
    usional
    0.96
    oyd
    0.95
    inois
    0.94
    Activations Density 0.011%

    No Known Activations