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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. 9-RES-JB
    6. 14587
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    INDEX
    Explanations

    mentions of 'the' (definite article) followed by a specific noun (possibly proper or related to a specific domain)

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cial
    -0.77
    sie
    -0.70
     according
    -0.65
    Serv
    -0.63
    wd
    -0.63
    *,
    -0.62
    ipeg
    -0.62
    isode
    -0.61
    iffe
    -0.61
    âĸł
    -0.61
    POSITIVE LOGITS
     ensuing
    1.31
     consequ
    1.30
     resultant
    1.23
     resulting
    1.20
     accompanying
    1.15
     rest
    1.13
     surrounding
    1.08
     attendant
    1.07
     corresponding
    1.04
     remainder
    1.03
    Activations Density 0.201%

    No Known Activations