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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. 21284
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    INDEX
    Explanations

    words related to qualifications, experience, and specific attributes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific quantitative attributes or criteria

    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
    nesday
    -0.74
    ],[
    -0.61
     Authors
    -0.60
     Byr
    -0.60
     Alv
    -0.58
     Visitors
    -0.56
    eatures
    -0.56
     ];
    -0.56
     arrang
    -0.55
     indefinitely
    -0.55
    POSITIVE LOGITS
     knack
    0.90
    hid
    0.87
     affinity
    0.86
     ties
    0.80
     penchant
    0.80
    stood
    0.80
     pedigree
    0.78
     overlap
    0.77
    standing
    0.77
    drawn
    0.74
    Activations Density 0.309%

    No Known Activations