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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
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    Explanations

    names related to the Sahara region and its surroundings

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Sah" and related terms

    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
    nect
    -0.86
    quartered
    -0.78
     satell
    -0.78
     nomine
    -0.77
    cffff
    -0.77
    NetMessage
    -0.75
    escription
    -0.72
    opausal
    -0.70
    enhagen
    -0.69
     Pompe
    -0.68
    POSITIVE LOGITS
    aran
    1.01
    Sah
    0.99
    ani
    0.98
     Sah
    0.96
    aji
    0.96
    ayan
    0.94
    aya
    0.94
    aku
    0.91
    annah
    0.90
    ak
    0.89
    Activations Density 0.021%

    No Known Activations