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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. 10-RES-JB
    11. 1439
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific dates or references to the beginning of a month

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UGH
    -0.59
     tsun
    -0.57
     clutch
    -0.56
     blat
    -0.54
     experien
    -0.54
     compartment
    -0.54
    lessly
    -0.52
     mosqu
    -0.52
     lumin
    -0.51
    MET
    -0.50
    POSITIVE LOGITS
     Madness
    0.81
     31
    0.77
     29
    0.73
    eteenth
    0.73
     26
    0.71
     27
    0.70
     28
    0.70
     23
    0.68
     22
    0.66
     21
    0.66
    Activations Density 0.016%

    No Known Activations