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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 17321
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    Explanations

    mentions of natural disasters or geographical features, specifically "tsunami."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "un."

    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
     Peb
    -0.85
     tomat
    -0.81
     conduc
    -0.67
     accur
    -0.67
     Madden
    -0.67
    Ó
    -0.65
    Ö¼
    -0.65
     Ages
    -0.64
     Pound
    -0.64
    ãĤ¼
    -0.64
    POSITIVE LOGITS
    fortunately
    1.13
    geons
    1.10
    geon
    1.09
    cles
    1.09
    iform
    1.08
    nel
    1.07
    iversity
    1.04
    likely
    1.02
    iverse
    1.01
    stable
    1.01
    Activations Density 0.019%

    No Known Activations