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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. 1-RES-JB
    11. 14091
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    INDEX
    Explanations

    keywords related to public speaking engagements and positive outlooks on various subjects

    oai_token-act-pair · gpt-3.5-turbo

    references to keynote speeches and commencement events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rug
    -0.66
    tem
    -0.63
     Rite
    -0.61
     Petr
    -0.57
    ration
    -0.57
    ter
    -0.56
    orough
    -0.56
    remlin
    -0.56
    worn
    -0.56
     depleted
    -0.56
    POSITIVE LOGITS
     keynote
    1.26
     speaker
    0.91
     presentations
    0.79
     speakers
    0.79
    WithNo
    0.75
    gements
    0.75
    ĺħ
    0.73
     attendees
    0.73
    ception
    0.72
     trumpet
    0.72
    Activations Density 0.003%

    No Known Activations