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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. 24031
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    Explanations

    phrases related to numerical groupings or team sizes

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or teams, particularly in a numerical 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
    DERR
    -0.81
    reads
    -0.69
    wolves
    -0.65
    issues
    -0.65
    ocrates
    -0.64
    acts
    -0.62
    Frames
    -0.60
    SPONSORED
    -0.60
    asso
    -0.59
    wings
    -0.58
    POSITIVE LOGITS
     combo
    0.95
     affair
    0.87
     alliance
    0.86
     ordeal
    0.80
    clusive
    0.76
     ensemble
    0.75
     delegation
    0.74
     lineup
    0.74
     aggregate
    0.74
     siege
    0.71
    Activations Density 0.090%

    No Known Activations