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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. 12895
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    INDEX
    Explanations

    references to various types of activities or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "activity" in various contexts

    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
    uran
    -0.82
    gling
    -0.77
     passage
    -0.74
    Boss
    -0.71
    oiler
    -0.70
    haul
    -0.69
    ophe
    -0.68
    pper
    -0.67
    ocard
    -0.66
    ppers
    -0.66
    POSITIVE LOGITS
    ional
    0.95
     activity
    0.88
    ivism
    0.87
     Activity
    0.82
    ual
    0.82
    iveness
    0.81
    uality
    0.81
     activities
    0.80
    ivity
    0.80
     undertaken
    0.72
    Activations Density 0.027%

    No Known Activations