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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. 9-RES-JB
    11. 3551
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irez
    -0.67
    iltr
    -0.62
    oldemort
    -0.62
    adian
    -0.60
    ilit
    -0.59
    ifix
    -0.58
    IPP
    -0.58
    ade
    -0.56
     capt
    -0.56
    apego
    -0.55
    POSITIVE LOGITS
     others
    1.14
    st
    0.96
     other
    0.96
    Others
    0.88
     Others
    0.82
     many
    0.81
    ī
    0.78
    IJ
    0.77
    ĪĴ
    0.74
     countless
    0.74
    Activations Density 0.022%

    No Known Activations