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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. 7-RES-JB
    11. 9348
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    INDEX
    Explanations

    statements related to function and structure in technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that define or describe states of being or conditions

    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
    inav
    -0.85
     congr
    -0.69
    edin
    -0.65
     bothers
    -0.64
     Isles
    -0.62
    enture
    -0.62
     IMAGES
    -0.61
    oice
    -0.61
     scares
    -0.60
     Moines
    -0.60
    POSITIVE LOGITS
     represented
    1.04
     shown
    1.03
     assumed
    1.03
     treated
    1.02
     characterized
    1.01
     usually
    1.01
     located
    1.01
     derived
    1.01
     considered
    1.00
     depicted
    0.99
    Activations Density 0.478%

    No Known Activations