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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. 6-RES-JB
    11. 20314
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    Explanations

    words containing the letter 's'

    oai_token-act-pair · gpt-3.5-turbo

    empty sequences or segments without meaningful content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.77
     snipp
    -0.73
     starters
    -0.68
     supplemented
    -0.66
     Ribbon
    -0.66
    milo
    -0.66
     Cald
    -0.65
     slab
    -0.64
     Strip
    -0.62
     laureate
    -0.62
    POSITIVE LOGITS
    aved
    1.20
    ouls
    1.20
    ources
    1.18
    omew
    1.14
    atisf
    1.13
    aturated
    1.13
    itting
    1.12
    ustain
    1.12
    essions
    1.12
    umm
    1.11
    Activations Density 0.078%

    No Known Activations