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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
    11. 9030
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    Explanations

    situations or contexts related to questions or inquiries

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "quest" in various contexts

    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
     concentration
    -0.72
     spare
    -0.71
    hiba
    -0.70
     antis
    -0.69
     slic
    -0.68
     sarc
    -0.63
     elbows
    -0.62
     disinfect
    -0.62
    ï¸
    -0.62
     smoker
    -0.61
    POSITIVE LOGITS
    ioned
    1.34
    naire
    1.22
    ions
    1.06
    naires
    1.02
    quest
    0.99
    ION
    0.86
    rade
    0.85
    ion
    0.81
    rary
    0.80
    rane
    0.78
    Activations Density 0.009%

    No Known Activations