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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. 6-RES-JB
    11. 15245
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    Explanations

    phrases related to sports clubs

    oai_token-act-pair · gpt-3.5-turbo

    references to sports clubs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Accessory
    -0.95
    PLA
    -0.78
    haar
    -0.76
    PUT
    -0.71
     PLA
    -0.68
    PROV
    -0.67
     MacArthur
    -0.67
    hower
    -0.67
    Newsletter
    -0.66
    iencies
    -0.66
    POSITIVE LOGITS
    houses
    0.92
    bish
    0.90
    bing
    0.89
    bers
    0.89
    imore
    0.85
    bable
    0.84
     crest
    0.79
     clubs
    0.79
     acad
    0.78
     scout
    0.77
    Activations Density 0.017%

    No Known Activations