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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. 9088
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    INDEX
    Explanations

    names of universities and colleges

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names, particularly of people or entities

    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
    edition
    -0.76
    WHO
    -0.66
    achment
    -0.66
     Paran
    -0.63
    Relations
    -0.63
    ablishment
    -0.62
     touch
    -0.62
     WHO
    -0.61
    entity
    -0.61
     caption
    -0.61
    POSITIVE LOGITS
     Bry
    1.48
    ulia
    0.95
    bys
    0.89
    stal
    0.88
    sta
    0.85
     Brid
    0.81
    ansk
    0.80
    sonian
    0.79
    bon
    0.76
    seys
    0.76
    Activations Density 0.011%

    No Known Activations