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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. 7-RES-JB
    11. 6513
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    Explanations

    phrases related to time periods or eras

    oai_token-act-pair · gpt-3.5-turbo

    mentions of historical periods or eras

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sie
    -0.84
    ertodd
    -0.81
    ortment
    -0.81
    son
    -0.80
    cards
    -0.80
    ers
    -0.77
    swer
    -0.77
    liga
    -0.76
    tone
    -0.75
    lasses
    -0.74
    POSITIVE LOGITS
    BILITY
    0.76
    Äĩ
    0.75
    orthy
    0.72
    ufact
    0.68
    zza
    0.68
    Å
    0.66
    isons
    0.63
    jc
    0.62
     Jinn
    0.62
    ilee
    0.61
    Activations Density 0.026%

    No Known Activations