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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
    11. 4098
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    Explanations

    audio-related sentences prompting the listener to pay attention

    oai_token-act-pair · gpt-3.5-turbo

    commands or invitations to engage with audio content

    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
     glide
    -0.71
     violet
    -0.68
     VAT
    -0.66
    ball
    -0.64
    pex
    -0.64
    paralle
    -0.61
     Wolver
    -0.61
     graft
    -0.61
    road
    -0.61
    Lago
    -0.57
    POSITIVE LOGITS
     Listen
    1.06
    ership
    1.00
    Listen
    0.99
     listen
    0.97
     attent
    0.92
     listened
    0.89
     listens
    0.87
    ers
    0.86
    ences
    0.85
    iments
    0.80
    Activations Density 0.007%

    No Known Activations