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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. 7-RES-JB
    11. 11604
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    Explanations

    phrases related to sports achievements and awards

    oai_token-act-pair · gpt-3.5-turbo

    references to achievements in sports, particularly focusing on awards and recognitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.74
    nsic
    -0.73
    terday
    -0.72
    hod
    -0.71
    */(
    -0.70
    itars
    -0.69
     needles
    -0.69
    sels
    -0.69
     vigil
    -0.68
     LLP
    -0.67
    POSITIVE LOGITS
     Finals
    1.32
     Playoffs
    1.32
     Championship
    1.29
    League
    1.27
     Playoff
    1.23
     Rookie
    1.23
     playoffs
    1.21
     postseason
    1.14
     Trophy
    1.13
     League
    1.13
    Activations Density 0.129%

    No Known Activations