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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. 0-RES-JB
    11. 1699
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    Explanations

    words related to data or communication channels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "channels" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Valentine
    -0.71
    urion
    -0.70
    Occup
    -0.68
    orian
    -0.68
    udo
    -0.65
    ————
    -0.65
    iqueness
    -0.65
     Victorian
    -0.62
    bre
    -0.62
    ______
    -0.61
    POSITIVE LOGITS
     channels
    4.04
     channel
    2.83
    annels
    2.20
    channel
    2.08
    Channel
    2.04
     Channel
    1.97
     streams
    1.65
     networks
    1.61
     portals
    1.52
     outlets
    1.47
    Activations Density 0.012%

    No Known Activations