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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. 6-RES-JB
    11. 7082
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    Explanations

    terms related to legal concepts, such as "grand larceny" and "jury."

    oai_token-act-pair · gpt-3.5-turbo

    specific references to "grand" as a prefix in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jad
    -0.79
    phia
    -0.74
    ilater
    -0.69
    nyder
    -0.68
     inver
    -0.67
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
    cific
    -0.65
    codes
    -0.65
    ournals
    -0.64
    bugs
    -0.63
    POSITIVE LOGITS
     Mania
    0.74
    eer
    0.64
     pri
    0.63
    ield
    0.62
    eering
    0.61
     Riding
    0.60
    ZE
    0.59
    uries
    0.58
    quel
    0.58
    代
    0.57
    Activations Density 0.112%

    No Known Activations