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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. 15217
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    Explanations

    phrases related to observing actions or events from a specific location or perspective

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "from," indicating a focus on perspectives, sources, or origins in the text

    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
    ierrez
    -0.81
    faced
    -0.81
    quote
    -0.70
    Sys
    -0.70
    hai
    -0.69
    merce
    -0.65
    Ĥª
    -0.63
    itivity
    -0.63
    ratulations
    -0.61
    gradation
    -0.60
    POSITIVE LOGITS
     afar
    1.32
     whence
    1.00
     abroad
    0.89
     inside
    0.86
     scratch
    0.82
     thence
    0.78
     atop
    0.78
     within
    0.77
    within
    0.74
     across
    0.73
    Activations Density 0.161%

    No Known Activations