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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
    11. 12858
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    Explanations

    names of late-night talk show hosts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, primarily related to media and entertainment

    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
    ively
    -0.81
    arij
    -0.71
    NetMessage
    -0.71
    achusetts
    -0.70
     redistributed
    -0.67
    76561
    -0.67
    ometimes
    -0.67
     skelet
    -0.66
    hammad
    -0.66
    Building
    -0.65
    POSITIVE LOGITS
     Fallon
    1.18
    forth
    0.76
     Bros
    0.74
    vation
    0.71
    wald
    0.70
     Manning
    0.70
    Wiki
    0.70
    rolet
    0.65
    Leaks
    0.64
    INGTON
    0.62
    Activations Density 0.008%

    No Known Activations