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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. 4-RES-JB
    11. 12494
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    Explanations

    internet URLs and names of companies or people

    oai_token-act-pair · gpt-3.5-turbo

    references to company names and URLs

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

    No Comments

    Negative Logits
     âĢº
    -0.57
    Enlarge
    -0.48
     ..........
    -0.47
     Katy
    -0.46
     Jah
    -0.46
     Amy
    -0.46
    >)
    -0.45
     REL
    -0.45
     Amb
    -0.45
     ..."
    -0.45
    POSITIVE LOGITS
    utenberg
    0.63
     initiation
    0.55
    meric
    0.50
    ahime
    0.50
    uncle
    0.50
     Nuggets
    0.49
    ulent
    0.49
    intosh
    0.47
    senal
    0.47
    hovah
    0.47
    Activations Density 1.142%

    No Known Activations