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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. 3-RES-JB
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    Explanations

    mentions of the word "Roche".'_

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands or entities, particularly "Roche."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.78
     Falcons
    -0.71
    CAP
    -0.69
    ĩ
    -0.68
    achusetts
    -0.68
    Reviewer
    -0.65
    Georgia
    -0.65
    Defense
    -0.65
    Agg
    -0.64
     ILCS
    -0.63
    POSITIVE LOGITS
    oche
    1.38
    tto
    0.94
    lys
    0.85
    zon
    0.79
    oning
    0.79
    lette
    0.78
    oly
    0.78
    lett
    0.78
    grain
    0.78
    tti
    0.76
    Activations Density 0.009%

    No Known Activations