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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. 11-RES-JB
    6. 628
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    INDEX
    Explanations

    mentions of articles or written pieces

    oai_token-act-pair · gpt-3.5-turbo

    references to articles, posts, and various forms of media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.76
    innie
    -0.58
    ntil
    -0.58
    cale
    -0.57
    ãģĨ
    -0.57
    lap
    -0.56
    ECA
    -0.56
    actionDate
    -0.56
    rero
    -0.55
    Lago
    -0.55
    POSITIVE LOGITS
     concludes
    1.25
     progresses
    1.24
     itself
    1.24
     focuses
    1.17
     begins
    1.17
     culmin
    1.16
     depicts
    1.14
     revolves
    1.13
     ends
    1.12
     contains
    1.10
    Activations Density 0.238%

    No Known Activations