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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. 18101
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    Explanations

    proper nouns specific to locations, names, and events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in."

    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
    luaj
    -0.71
    assetsadobe
    -0.71
     partName
    -0.69
     Flavoring
    -0.66
     crib
    -0.65
    OURCE
    -0.65
     Remastered
    -0.64
    razil
    -0.64
    ADRA
    -0.63
    uez
    -0.62
    POSITIVE LOGITS
    hart
    1.09
    berg
    1.03
    hardt
    1.01
    ghan
    0.97
    horn
    0.93
    forced
    0.91
    force
    0.90
    forcing
    0.89
    feld
    0.89
    strom
    0.88
    Activations Density 0.084%

    No Known Activations