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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. 13285
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of references or citations from formal or academic contexts

    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
    lift
    -0.84
    acious
    -0.73
    lust
    -0.71
    zers
    -0.71
    lord
    -0.71
    weak
    -0.70
     ling
    -0.70
    hei
    -0.69
    keyes
    -0.68
    lash
    -0.67
    POSITIVE LOGITS
     Inc
    1.19
     Suite
    1.01
     LLC
    1.00
     Ltd
    0.99
     Faculty
    0.93
     Dept
    0.91
     Pasadena
    0.90
     London
    0.90
     ISBN
    0.88
     Room
    0.86
    Activations Density 0.204%

    No Known Activations