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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
    11. 3189
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    Explanations

    references to a specific location, namely Palo Alto

    oai_token-act-pair · gpt-3.5-turbo

    references to the location Palo Alto

    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
    mble
    -0.75
     Beir
    -0.73
    utical
    -0.70
    itional
    -0.69
     Wrest
    -0.65
    ality
    -0.65
    HL
    -0.65
    itionally
    -0.64
    ciating
    -0.64
    liam
    -0.62
    POSITIVE LOGITS
     Alto
    0.96
    olla
    0.85
    fitted
    0.79
    hiba
    0.77
     sax
    0.73
    Phones
    0.73
    velength
    0.73
    ilee
    0.71
    Accessory
    0.71
    artz
    0.71
    Activations Density 0.025%

    No Known Activations