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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. 15563
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    keywords related to listening

    oai_token-act-pair · gpt-3.5-turbo

    words related to listening and auditory experiences

    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
    undo
    -0.74
    ©¶æ¥µ
    -0.68
    aceae
    -0.65
    oso
    -0.65
    ulton
    -0.65
    inals
    -0.63
    inal
    -0.62
    pick
    -0.59
     recovery
    -0.59
    ouri
    -0.59
    POSITIVE LOGITS
     Listen
    0.94
     aloud
    0.86
    Listen
    0.82
     listened
    0.82
    IUM
    0.80
     Watching
    0.79
     listens
    0.78
     listener
    0.76
     listen
    0.73
     attent
    0.71
    Activations Density 0.040%

    No Known Activations