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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. 20602
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    Explanations

    informative phrases about picks and selections in sports drafts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports drafts and player selections

    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
     outage
    -0.85
     vibrations
    -0.78
     vigil
    -0.72
     deterior
    -0.71
    xual
    -0.69
     behaviours
    -0.69
     vigilance
    -0.69
     erupt
    -0.68
     fires
    -0.68
     responsiveness
    -0.67
    POSITIVE LOGITS
    Draft
    1.00
     lottery
    0.96
     waivers
    0.90
     Manziel
    0.84
     Draft
    0.84
     undrafted
    0.82
     draft
    0.82
     Rookie
    0.82
     Combine
    0.78
     Heisman
    0.77
    Activations Density 0.195%

    No Known Activations