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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. 8-RES-JB
    6. 8760
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    Explanations

    recordings, videos, and transcripts

    oai_token-act-pair · gpt-3.5-turbo

    references to audio-visual materials and related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.79
     laure
    -0.75
    itte
    -0.75
    enta
    -0.74
    izons
    -0.68
    heon
    -0.67
    iasis
    -0.66
    ãĤ¦ãĤ¹
    -0.66
    uria
    -0.65
    wikipedia
    -0.65
    POSITIVE LOGITS
     audio
    1.03
     footage
    1.02
     clips
    1.01
     recordings
    0.98
     recording
    0.90
     taped
    0.89
     clip
    0.87
     conversations
    0.85
     Audio
    0.84
    youtu
    0.84
    Activations Density 0.210%

    No Known Activations