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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. 7-RES-JB
    11. 21408
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to legal proceedings and investigations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.89
    gdala
    -0.76
    inas
    -0.68
    isen
    -0.64
    sac
    -0.61
     tsun
    -0.60
    wings
    -0.60
     wra
    -0.59
     succumbed
    -0.59
    lime
    -0.59
    POSITIVE LOGITS
     Scrib
    0.67
     timetable
    0.65
    actionDate
    0.65
     Ong
    0.64
    atform
    0.62
     overdue
    0.61
     Arpaio
    0.61
    ģ«
    0.60
     crowdfunding
    0.59
     chaired
    0.59
    Activations Density 0.571%

    No Known Activations