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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. 22659
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    Explanations

    the initials "DM" followed by a high activation number

    oai_token-act-pair · gpt-3.5-turbo

    references to direct messaging and copyright terms

    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
     Sabres
    -0.70
    kefeller
    -0.63
     Pwr
    -0.63
     Predators
    -0.61
    kie
    -0.61
    oscope
    -0.60
    ï¸
    -0.60
    phen
    -0.60
    ppo
    -0.60
    ournal
    -0.59
    POSITIVE LOGITS
    NF
    0.93
    aign
    0.78
    ARC
    0.73
    emonic
    0.72
    iciency
    0.70
    ensional
    0.69
    agne
    0.68
    ploy
    0.68
    NT
    0.67
    onna
    0.66
    Activations Density 0.027%

    No Known Activations