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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20533
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    INDEX
    Explanations

    mentions or references to someone named "Rom" with varying contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Rome or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.76
    gettable
    -0.75
    pressed
    -0.68
     attendant
    -0.68
    IELD
    -0.67
    Ͻ
    -0.67
     graded
    -0.67
    ctic
    -0.63
     weights
    -0.62
     eyed
    -0.62
    POSITIVE LOGITS
    antics
    1.04
    ulus
    1.03
    anes
    1.03
    ijn
    1.02
    aji
    1.01
    atic
    0.95
    antic
    0.94
    antically
    0.93
    ano
    0.92
    ace
    0.91
    Activations Density 0.017%

    No Known Activations