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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. 11-RES-JB
    11. 11759
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    Explanations

    mentions of specific years, often related to events or publications in those years

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of temporal references and entities related to specific events or dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ
    -0.74
    Ħ¢
    -0.68
    cffffcc
    -0.68
    à¨
    -0.67
    âĺ
    -0.66
    Understanding
    -0.65
    agog
    -0.64
     fundamentally
    -0.64
    Especially
    -0.63
    seless
    -0.62
    POSITIVE LOGITS
     TMZ
    0.88
     organisers
    0.78
     Forbes
    0.77
     Yen
    0.77
     he
    0.73
     Torrent
    0.72
     Rai
    0.71
     rumours
    0.71
     rumors
    0.71
     Constantin
    0.69
    Activations Density 0.590%

    No Known Activations