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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
    11. 15978
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    Explanations

    mentions of the model "X900" specifically

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 900

    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
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    No Comments

    Negative Logits
    mit
    -0.86
    kell
    -0.84
    esville
    -0.82
    stood
    -0.77
    NetMessage
    -0.73
    pron
    -0.67
    emia
    -0.67
    pmwiki
    -0.66
     Bord
    -0.66
    esthetic
    -0.66
    POSITIVE LOGITS
    900
    0.99
    889
    0.91
    700
    0.90
    999
    0.89
    600
    0.84
    000
    0.76
    500
    0.74
     MHz
    0.74
    MQ
    0.74
    æ©Ł
    0.72
    Activations Density 0.013%

    No Known Activations