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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. 11-RES-JB
    11. 24483
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    INDEX
    Explanations

    specific types of objects or concepts designated by a singular noun

    oai_token-act-pair · gpt-3.5-turbo

    themes related to design and structure in various contexts

    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
    esson
    -0.79
     Neville
    -0.79
     Shank
    -0.77
    Nev
    -0.76
     Vaughan
    -0.75
     Sne
    -0.75
    Mess
    -0.73
     Rapp
    -0.73
     Viktor
    -0.73
     Nab
    -0.72
    POSITIVE LOGITS
     bases
    1.64
     Fort
    1.62
     base
    1.59
     BASE
    1.53
    base
    1.50
     Base
    1.44
    Fort
    1.34
     fort
    1.33
    Base
    1.33
     BAS
    1.18
    Activations Density 0.240%

    No Known Activations