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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. 9-RES-JB
    11. 3090
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    Explanations

    phrases related to factual information or significant events

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to legal and investigative contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.76
     manageable
    -0.70
    disabled
    -0.68
    enable
    -0.66
    cffff
    -0.66
    ustomed
    -0.63
    mbuds
    -0.60
    detail
    -0.60
    antam
    -0.59
    iculty
    -0.58
    POSITIVE LOGITS
    ghazi
    0.74
     testified
    0.69
     originally
    0.67
    liest
    0.66
     himself
    0.65
    ?,
    0.64
     spree
    0.63
     Ruk
    0.63
     Donation
    0.62
    ulla
    0.61
    Activations Density 0.423%

    No Known Activations