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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. 10-RES-JB
    11. 10503
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    Explanations

    words related to impactful or intense action or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to negativity or suppression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Anarchy
    -0.60
    é¾įå¥ij士
    -0.59
    office
    -0.57
     briefs
    -0.57
     cleaners
    -0.57
     expend
    -0.56
     installment
    -0.54
     wors
    -0.54
     relegation
    -0.52
    ãĤ¼
    -0.52
    POSITIVE LOGITS
    ned
    1.88
    ning
    1.80
    ner
    1.56
    ting
    1.53
    't
    1.51
    kered
    1.50
    nery
    1.39
    ishing
    1.37
    ched
    1.37
    ny
    1.36
    Activations Density 0.153%

    No Known Activations