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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    the verb "fielded" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "fielded" and its variations in the context of calls or requests

    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
    fet
    -0.71
    dom
    -0.70
    spir
    -0.70
    shapeshifter
    -0.69
    reck
    -0.67
    edom
    -0.66
    York
    -0.66
    leans
    -0.65
    Bridge
    -0.63
    hood
    -0.61
    POSITIVE LOGITS
     fielded
    1.11
     fielding
    1.01
    ãĤ´
    0.91
    ãĤ©
    0.84
    ãĥ£
    0.82
    ãĥ¼ãĥĨãĤ£
    0.82
    FIELD
    0.73
    folios
    0.73
    dinand
    0.72
    ãĤ¡
    0.69
    Activations Density 0.003%

    No Known Activations