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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. 12-RES-JB
    11. 3384
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    Explanations

    descriptions related to food and events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to food and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     Jed
    -0.73
    aird
    -0.68
     Judd
    -0.66
    ewater
    -0.63
     Manor
    -0.63
    vernment
    -0.62
     Wink
    -0.61
    76561
    -0.59
     Lank
    -0.59
     Painter
    -0.57
    POSITIVE LOGITS
    stuff
    1.20
    service
    1.07
    borne
    0.98
     coma
    0.96
    ie
    0.92
     poisoning
    0.91
     allergies
    0.88
    grain
    0.87
    ies
    0.87
    worms
    0.86
    Activations Density 0.055%

    No Known Activations