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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. 7223
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    Explanations

    team members in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to team members or groups within a narrative context

    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
    okin
    -0.72
    Scope
    -0.70
    Fla
    -0.70
    ãĤ¢ãĥ«
    -0.70
    MER
    -0.67
    STAR
    -0.67
    pson
    -0.67
    ometric
    -0.65
    PUT
    -0.64
    OF
    -0.64
    POSITIVE LOGITS
    hips
    1.28
     stationed
    0.86
     who
    0.85
    hip
    0.81
     tasked
    0.79
     responsible
    0.78
    bery
    0.74
     assassinated
    0.73
    rors
    0.71
    esses
    0.69
    Activations Density 0.226%

    No Known Activations