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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. 15215
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    INDEX
    Explanations

    phrases related to specific individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or person

    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
    sheet
    -0.81
    ERAL
    -0.79
    bler
    -0.78
    liest
    -0.75
    doms
    -0.75
    rary
    -0.72
    rations
    -0.71
    deck
    -0.70
    ship
    -0.70
    t
    -0.70
    POSITIVE LOGITS
     Luxem
    0.98
    qua
    0.93
    ppa
    0.92
    osa
    0.91
    isy
    0.90
    velength
    0.89
     Nost
    0.87
    estro
    0.86
    hea
    0.85
    pora
    0.83
    Activations Density 0.023%

    No Known Activations