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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. 20273
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    Explanations

    occurrences of the preposition "in"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in," indicating a focus on location or context

    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
    ault
    -0.64
    ById
    -0.64
    interrupted
    -0.61
    wine
    -0.61
    llor
    -0.59
     pier
    -0.58
    ratulations
    -0.57
    Magn
    -0.57
    iris
    -0.57
     noticed
    -0.56
    POSITIVE LOGITS
     regards
    1.36
     lieu
    1.26
    efficiency
    1.24
    roads
    1.20
    clusions
    1.16
    ordinate
    1.15
    humane
    1.12
     relation
    1.11
     regard
    1.10
     disguise
    1.08
    Activations Density 0.315%

    No Known Activations