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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. 3-RES-JB
    11. 5832
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    Explanations

    the word "up" followed by verbs indicating an outcome or result

    oai_token-act-pair · gpt-3.5-turbo

    phrases about outcomes or results, particularly those that indicate a negative or unintended consequence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ongyang
    -0.74
    mouth
    -0.73
    ially
    -0.66
    minecraft
    -0.66
    gee
    -0.65
    hunt
    -0.64
     Sturgeon
    -0.61
    rouse
    -0.60
    eport
    -0.59
    Reviewed
    -0.59
    POSITIVE LOGITS
    rations
    0.79
    dates
    0.76
    votes
    0.76
    adesh
    0.73
    cycles
    0.73
     coli
    0.73
    skirts
    0.72
     redes
    0.70
    stairs
    0.69
    lier
    0.67
    Activations Density 0.041%

    No Known Activations