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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. 1-RES-JB
    11. 16050
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    Explanations

    references to specific television channels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television channels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ever
    -0.75
    arcity
    -0.68
    olding
    -0.65
    earable
    -0.63
    orned
    -0.62
    pires
    -0.60
    nexpected
    -0.60
     Rao
    -0.60
     sund
    -0.59
    ARS
    -0.59
    POSITIVE LOGITS
     Channel
    1.27
    Channel
    1.23
     channel
    0.99
    channel
    0.87
    izoph
    0.84
     Divinity
    0.83
    icut
    0.83
    Mask
    0.82
    annels
    0.82
     channels
    0.82
    Activations Density 0.005%

    No Known Activations