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    1. Home
    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. 14261
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    Explanations

    names of countries and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of places and organizations

    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
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    Negative Logits
    quartered
    -0.55
     Edited
    -0.50
     Cosponsors
    -0.46
    utenant
    -0.46
    named
    -0.44
    anwhile
    -0.43
    )=(
    -0.43
    odcast
    -0.43
     MSI
    -0.42
     Variant
    -0.41
    POSITIVE LOGITS
    $.
    0.67
    .</
    0.61
    .�
    0.61
    ]."
    0.60
    '.
    0.57
    .).
    0.54
    ?".
    0.53
    )).
    0.53
    )."
    0.52
    ?).
    0.51
    Activations Density 2.084%

    No Known Activations