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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. 3660
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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 @ 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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    Negative Logits
    ufact
    -0.84
    kefeller
    -0.75
    eno
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    ructose
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    erity
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    mble
    -0.65
    igree
    -0.63
    kernel
    -0.63
    thal
    -0.62
    dfx
    -0.61
    POSITIVE LOGITS
     Edit
    0.74
    çīĪ
    0.71
    onyms
    0.70
    INGTON
    0.70
    ibliography
    0.68
     âĨ
    0.67
     âĩ
    0.67
    :
    0.67
     Expand
    0.65
     âĨĴ
    0.64
    Activations Density 0.017%

    No Known Activations