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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    instances of various forms of the word "media."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of media

    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
     Rasmussen
    -0.73
    cker
    -0.69
    bats
    -0.68
     Reconstruction
    -0.67
    gling
    -0.65
    vasive
    -0.65
     damn
    -0.64
    ¿½
    -0.63
    ternity
    -0.62
     Hoover
    -0.62
    POSITIVE LOGITS
    eval
    1.23
    wiki
    0.86
     outlets
    0.81
     literacy
    0.77
    media
    0.76
     mog
    0.74
    medi
    0.69
     conglomer
    0.68
     VIDEOS
    0.66
     outlet
    0.65
    Activations Density 0.024%

    No Known Activations