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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. 5319
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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
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    Negative Logits
    ERG
    -0.70
     Oper
    -0.65
     siege
    -0.62
    izont
    -0.62
    winter
    -0.62
    onal
    -0.59
    zens
    -0.59
     Archdemon
    -0.59
    Thom
    -0.59
     besieged
    -0.58
    POSITIVE LOGITS
     predis
    0.86
     ancest
    0.84
     disqual
    0.79
     quot
    0.77
     accent
    0.77
     ancestry
    0.71
     entit
    0.69
     qualifications
    0.66
     tattoos
    0.65
     profile
    0.64
    Activations Density 0.247%

    No Known Activations