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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. 20268
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    INDEX
    Explanations

    proper nouns, likely related to people, places, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people or characters

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     ASA
    -0.88
     Hots
    -0.78
     acron
    -0.74
     impulse
    -0.73
    ãĥ³ãĤ¸
    -0.71
     tram
    -0.70
     Empires
    -0.70
     Astro
    -0.69
     paras
    -0.68
     turkey
    -0.68
    POSITIVE LOGITS
    ll
    1.75
    LL
    1.49
    oll
    1.29
    ill
    1.26
    ELL
    1.14
    lla
    1.13
    ell
    1.10
    lled
    1.10
    ills
    1.10
    llo
    1.10
    Activations Density 0.239%

    No Known Activations