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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 19034
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    Explanations

    mentions of different types of burgers

    oai_token-act-pair · gpt-3.5-turbo

    references to burgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agnetic
    -0.80
    nces
    -0.74
    pmwiki
    -0.74
    inel
    -0.72
    agall
    -0.70
     Emin
    -0.70
    oral
    -0.69
     Atmospheric
    -0.69
     partName
    -0.68
    uchin
    -0.68
    POSITIVE LOGITS
    urger
    0.97
     burger
    0.96
     steak
    0.91
     burgers
    0.89
    balls
    0.83
     hamb
    0.83
     Burger
    0.82
     emoji
    0.80
     cake
    0.78
    ards
    0.77
    Activations Density 0.020%

    No Known Activations