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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. 0-RES-JB
    11. 11637
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    Explanations

    mentions of names or titles likely related to individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of a specific name or entity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cancell
    -0.70
     rescue
    -0.68
     resc
    -0.67
     aval
    -0.67
     Fedora
    -0.66
     diapers
    -0.63
     evacuation
    -0.63
     backpack
    -0.63
     evac
    -0.62
     Squirrel
    -0.60
    POSITIVE LOGITS
    ith
    4.66
    iths
    3.74
    ITH
    2.33
    ithing
    1.38
    antha
    1.20
    yth
    1.18
    ithe
    1.12
    ath
    1.12
    atha
    1.11
    isen
    1.00
    Activations Density 0.015%

    No Known Activations