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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. 2-RES-JB
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    Explanations

    proper nouns or names, specifically "Maur**o**"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Mau" and "Pau"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾į
    -0.89
    代
    -0.89
    ãĤ¤ãĥĪ
    -0.84
    nikov
    -0.84
    ãĥ¼ãĥ³
    -0.75
    ãģį
    -0.71
    ãĥij
    -0.71
    ãĥŁ
    -0.70
    ãĤ½
    -0.70
     CPC
    -0.70
    POSITIVE LOGITS
     Mau
    1.09
    lette
    0.89
    vine
    0.85
    aeper
    0.84
    gment
    0.84
    erey
    0.83
    edIn
    0.83
    gey
    0.81
    etooth
    0.81
    leted
    0.76
    Activations Density 0.008%

    No Known Activations