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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. 7-RES-JB
    6. 20483
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    INDEX
    Explanations

    words related to different types of activities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of entertainment and their contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atus
    -0.61
    xus
    -0.59
    pload
    -0.58
     Ezek
    -0.56
    milo
    -0.55
     nomine
    -0.53
    DonaldTrump
    -0.53
    izont
    -0.53
    76561
    -0.51
     seiz
    -0.51
    POSITIVE LOGITS
     alike
    1.29
     respectively
    1.01
     industries
    0.60
    depending
    0.58
     depending
    0.56
     sectors
    0.56
     thereof
    0.55
     versa
    0.54
     combine
    0.54
     modes
    0.49
    Activations Density 0.464%

    No Known Activations