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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. 21276
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    Explanations

    phrases or acronyms related to named entities or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the letter "S" or entities/entities starting with "S"

    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
    tainment
    -0.72
     diplom
    -0.71
     unrestricted
    -0.70
    EStream
    -0.69
     unsupported
    -0.69
    puter
    -0.69
    catentry
    -0.68
     circulation
    -0.68
     visitation
    -0.67
     techno
    -0.67
    POSITIVE LOGITS
    SE
    1.16
    ixty
    1.15
    IX
    1.15
    ESSION
    1.10
    ustain
    1.10
    RS
    1.09
    AND
    1.07
    ink
    1.06
    SA
    1.06
    UG
    1.05
    Activations Density 0.050%

    No Known Activations