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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. 2-RES-JB
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    Explanations

    mentions of the word "steward" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to stewards and variations of the word "stew."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.83
     Fasc
    -0.69
     Osc
    -0.68
    ittens
    -0.65
    prus
    -0.64
    hammad
    -0.64
    anguage
    -0.63
    pmwiki
    -0.63
    vertis
    -0.63
    opathic
    -0.62
    POSITIVE LOGITS
     stew
    1.26
    ards
    1.24
     Stew
    1.07
    ard
    1.05
    arding
    1.01
    ARDS
    0.96
    arded
    0.96
    ARD
    0.90
    wyn
    0.87
     stewards
    0.87
    Activations Density 0.011%

    No Known Activations