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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
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    references to television channels

    oai_token-act-pair · gpt-3.5-turbo

    references to television channels

    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
    Labor
    -0.74
    ————
    -0.68
    Appearances
    -0.67
    Civil
    -0.67
     Flowers
    -0.65
    ests
    -0.65
     Uniform
    -0.64
    Occup
    -0.63
     Polic
    -0.63
     Meier
    -0.63
    POSITIVE LOGITS
     channel
    3.96
     channels
    3.00
    channel
    2.69
     Channel
    2.53
    Channel
    2.48
    annels
    1.97
     stream
    1.28
     network
    1.20
     outlet
    1.19
     conduit
    1.18
    Activations Density 0.010%

    No Known Activations