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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
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    Explanations

    specific mentions of television channels

    oai_token-act-pair · gpt-3.5-turbo

    references to specific television channels

    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
    arcity
    -0.78
    olding
    -0.70
    ever
    -0.69
    enty
    -0.69
    enced
    -0.68
    Reviewer
    -0.67
     sund
    -0.67
    ourke
    -0.66
    ĻĤ
    -0.66
    neapolis
    -0.66
    POSITIVE LOGITS
     Channel
    1.02
    Channel
    0.98
     Divinity
    0.84
     Islands
    0.81
     channel
    0.81
    Mask
    0.81
     Tunnel
    0.78
     Broadcasting
    0.77
     channels
    0.71
    Sav
    0.70
    Activations Density 0.010%

    No Known Activations