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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. 8-RES-JB
    11. 9048
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    Explanations

    verbs related to receiving positive feedback or attention

    oai_token-act-pair · gpt-3.5-turbo

    verbs and phrases related to receiving or obtaining recognition or attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.67
     ratio
    -0.63
    idia
    -0.62
    ways
    -0.61
     trave
    -0.61
     Zone
    -0.60
     Coliseum
    -0.59
     pci
    -0.58
    wine
    -0.57
     Relations
    -0.57
    POSITIVE LOGITS
     widespread
    0.93
     rave
    0.91
     attention
    0.89
     headlines
    0.88
     scrutiny
    0.86
     notoriety
    0.85
     traction
    0.82
     applause
    0.82
    icion
    0.82
    osponsors
    0.77
    Activations Density 0.192%

    No Known Activations