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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. 13678
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    Explanations

    specific mentions of team members within a group or organization

    oai_token-act-pair · gpt-3.5-turbo

    references to team members and their roles within a group

    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
    Scope
    -0.77
    BAT
    -0.75
    obar
    -0.70
    trop
    -0.70
    ILLE
    -0.67
    STAR
    -0.66
    MER
    -0.66
    Draft
    -0.65
    aval
    -0.65
    fitting
    -0.64
    POSITIVE LOGITS
    hips
    1.46
    hip
    0.81
    ials
    0.80
    holders
    0.79
     who
    0.77
    ertodd
    0.73
     tasked
    0.70
    hyde
    0.69
    holder
    0.69
     assassinated
    0.69
    Activations Density 0.078%

    No Known Activations