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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
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    Explanations

    mentions of the name "Narita"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Nar" and its derivatives, as well as related terms

    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
     Democr
    -0.85
    xual
    -0.74
    IBLE
    -0.73
     Pixie
    -0.71
    æĢ
    -0.70
     Wink
    -0.70
     Canary
    -0.70
     Reb
    -0.69
    éĹĺ
    -0.69
    eous
    -0.68
    POSITIVE LOGITS
     Nar
    1.23
     nar
    0.98
     Lumpur
    0.97
    ayan
    0.91
    abus
    0.90
    rils
    0.85
    agra
    0.84
    acan
    0.82
    vik
    0.81
    aband
    0.81
    Activations Density 0.009%

    No Known Activations