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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. 6-RES-JB
    11. 24459
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    JP
    -0.67
    ansas
    -0.67
    VK
    -0.63
     Roses
    -0.63
    geist
    -0.59
    ©¶æ
    -0.58
    Ô
    -0.58
    hound
    -0.58
     Sparkle
    -0.58
    JM
    -0.58
    POSITIVE LOGITS
    atory
    1.18
    ific
    1.11
    ulty
    1.11
    entials
    0.93
    iation
    0.93
    ator
    0.93
    ence
    0.92
    ially
    0.92
    atable
    0.91
    iencies
    0.91
    Activations Density 0.029%

    No Known Activations