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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. 10-RES-JB
    11. 16517
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to media content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Phi
    -0.65
     Kappa
    -0.61
     hindsight
    -0.57
    bats
    -0.57
     Afgh
    -0.57
    clus
    -0.57
     Plum
    -0.56
    stood
    -0.55
    manship
    -0.55
     SOM
    -0.55
    POSITIVE LOGITS
     caption
    1.11
     playback
    0.88
     copyright
    0.62
    Getty
    0.62
    atalie
    0.62
    ecast
    0.61
     codec
    0.61
    Node
    0.61
    scripts
    0.60
    "]=>
    0.59
    Activations Density 0.004%

    No Known Activations