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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. 4-RES-JB
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    Explanations

    mentions of Italian-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Italy and Italian-related terms

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

    No Comments

    Negative Logits
    \\\\\\\\
    -0.97
    tick
    -0.89
    bilt
    -0.87
    pir
    -0.84
    izons
    -0.82
    holder
    -0.80
    nels
    -0.79
    rooms
    -0.78
    TPPStreamerBot
    -0.78
    manship
    -0.77
    POSITIVE LOGITS
    etta
    0.86
    zzo
    0.85
     Alps
    0.83
     Fasc
    0.82
     Inquisition
    0.82
    otti
    0.81
     Italy
    0.81
     Renaissance
    0.81
     Serie
    0.80
     Giovanni
    0.79
    Activations Density 0.017%

    No Known Activations