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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. 9-RES-JB
    11. 19417
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    Explanations

    words related to proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and references to entities or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Reincarn
    -0.77
     allowances
    -0.56
     UID
    -0.56
     Rampage
    -0.54
     caution
    -0.54
     Paradise
    -0.54
     thirds
    -0.53
     battered
    -0.52
    DERR
    -0.51
    AGES
    -0.51
    POSITIVE LOGITS
    zinski
    0.98
    pter
    0.92
    llan
    0.91
    stal
    0.84
    ker
    0.84
    hm
    0.82
    ger
    0.82
    ggles
    0.82
    ken
    0.82
    itzer
    0.81
    Activations Density 0.149%

    No Known Activations