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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. 10-RES-JB
    11. 8148
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    Explanations

    references to specific entities or concepts with the prefix "A-"

    oai_token-act-pair · gpt-3.5-turbo

    grades associated with specific visual or performance styles in media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     altern
    -0.73
     Atmospheric
    -0.71
     independ
    -0.71
     moder
    -0.70
     caus
    -0.66
     fiat
    -0.66
     adoption
    -0.64
     obst
    -0.64
     proxies
    -0.62
    indal
    -0.62
    POSITIVE LOGITS
    Rod
    1.01
    minus
    1.00
    League
    0.99
    grade
    0.95
    List
    0.95
    pillar
    0.95
    Train
    0.94
    HA
    0.92
    ZE
    0.92
    Frame
    0.91
    Activations Density 0.021%

    No Known Activations