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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. 3-RES-JB
    11. 15423
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    Explanations

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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akeru
    -0.82
     earnest
    -0.72
    EStream
    -0.71
    eele
    -0.68
    culosis
    -0.67
    WARE
    -0.63
    SEE
    -0.62
     demand
    -0.61
     Helsinki
    -0.61
     Lakes
    -0.61
    POSITIVE LOGITS
    isions
    1.29
    isible
    1.19
    orce
    1.16
    ision
    1.07
    ination
    1.07
    inity
    1.01
    isive
    0.98
    inyl
    0.97
    ittal
    0.97
    ISION
    0.96
    Activations Density 0.008%

    No Known Activations