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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. 2-RES-JB
    11. 14427
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to depth of analysis or exploration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Spice
    -0.65
     Hurricanes
    -0.64
     Roll
    -0.63
     FAT
    -0.62
    hett
    -0.62
    emic
    -0.61
     Trin
    -0.61
     Wak
    -0.57
    iah
    -0.55
    ides
    -0.55
    POSITIVE LOGITS
    depth
    1.11
    çīĪ
    0.89
    theless
    0.82
    Interview
    0.80
     interviews
    0.77
    sonian
    0.75
    aturdays
    0.74
    irtual
    0.73
    terday
    0.73
     Depth
    0.71
    Activations Density 0.021%

    No Known Activations