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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. 8923
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    Explanations

    family relationships and connections

    oai_token-act-pair · gpt-3.5-turbo

    references to familial and authoritative figures

    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
    urtles
    -0.68
    arcity
    -0.65
    DERR
    -0.65
    =#
    -0.62
    ometimes
    -0.61
    etheless
    -0.60
    skip
    -0.59
     Decoder
    -0.58
    ocally
    -0.57
    ournal
    -0.56
    POSITIVE LOGITS
    's
    0.99
    ÃŃs
    0.95
     bloodstream
    0.76
     playbook
    0.74
    ´
    0.73
     territory
    0.70
    hood
    0.70
    stown
    0.70
     favour
    0.68
    controlled
    0.67
    Activations Density 0.638%

    No Known Activations