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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. 8008
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    Explanations

    phrases related to schools, possibly focusing on specific school names

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions, specifically focusing on the word "school."

    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
    GGGG
    -0.71
     GOODMAN
    -0.66
     underwater
    -0.65
    ForgeModLoader
    -0.63
     centrif
    -0.61
     embassies
    -0.61
    inctions
    -0.60
     UFOs
    -0.59
     whales
    -0.59
    REDACTED
    -0.58
    POSITIVE LOGITS
    itzer
    0.85
    inger
    0.81
    orst
    0.80
    enegger
    0.80
    uble
    0.79
    esy
    0.78
    schild
    0.78
    lich
    0.75
    kov
    0.75
    acher
    0.75
    Activations Density 0.058%

    No Known Activations