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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. 3916
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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
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    Negative Logits
    ividual
    -0.49
    ãĤ®
    -0.49
    zech
    -0.46
    olean
    -0.45
    ppa
    -0.45
    ertain
    -0.44
    legged
    -0.44
    ethical
    -0.43
    ãĤĮ
    -0.43
    untled
    -0.43
    POSITIVE LOGITS
     Shelby
    0.52
    orses
    0.48
    Joined
    0.43
    eatures
    0.42
    etheless
    0.42
     Dungeons
    0.42
    imity
    0.42
     Moonlight
    0.41
     Amon
    0.41
     TC
    0.39
    Activations Density 2.262%

    No Known Activations