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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. 0-RES-JB
    11. 22411
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     owl
    -0.70
     transl
    -0.66
     alert
    -0.66
     deposition
    -0.66
     RAW
    -0.65
     Enh
    -0.65
     audit
    -0.64
     ow
    -0.63
    owl
    -0.62
     Owl
    -0.62
    POSITIVE LOGITS
    ptions
    2.81
    vant
    2.76
    ieties
    1.48
    pes
    1.28
    riers
    1.25
    IES
    1.12
    reck
    1.11
    verages
    1.06
    Stage
    1.00
    IONS
    0.91
    Activations Density 0.037%

    No Known Activations