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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. 8-RES-JB
    11. 14163
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    Explanations

    phrases related to captions and image credits in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to stock imagery and media-related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    RL
    -0.70
    ãĤ±
    -0.65
    ific
    -0.64
    iously
    -0.60
    cible
    -0.60
    rs
    -0.60
    cop
    -0.60
    uary
    -0.59
     dumps
    -0.59
    RD
    -0.59
    POSITIVE LOGITS
     SEE
    0.83
     CAP
    0.77
     Anon
    0.75
     istg
    0.74
     Photo
    0.72
     Logged
    0.71
     @@
    0.71
     âĨ
    0.71
    BuyableInstoreAndOnline
    0.70
     «
    0.69
    Activations Density 0.234%

    No Known Activations