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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. 13994
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    oai_token-act-pair · gpt-3.5-turbo

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    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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    No Comments

    Negative Logits
    netflix
    -0.90
    fman
    -0.70
    pees
    -0.67
     Nanto
    -0.65
    umbai
    -0.63
    elong
    -0.62
    weekly
    -0.59
    iman
    -0.57
    plom
    -0.57
    ayed
    -0.56
    POSITIVE LOGITS
    472
    0.76
    XXX
    0.72
    XX
    0.68
    ĨĴ
    0.67
    çļ
    0.66
    VB
    0.65
    Dialogue
    0.64
    ADRA
    0.64
    izoph
    0.64
    ²¾
    0.64
    Activations Density 0.064%

    No Known Activations