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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. 4-RES-JB
    11. 6418
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    Explanations

    phrases related to sports clubs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific sports club

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

    No Comments

    Negative Logits
    Accessory
    -0.86
    PLA
    -0.84
    haar
    -0.74
     PLA
    -0.74
    PROV
    -0.71
    hower
    -0.70
    PUT
    -0.68
    SourceFile
    -0.67
    OPLE
    -0.66
    response
    -0.63
    POSITIVE LOGITS
    bish
    0.92
    houses
    0.90
    mates
    0.87
     clubs
    0.87
    bable
    0.87
     mates
    0.86
    bing
    0.83
     scout
    0.82
    imore
    0.81
    bers
    0.81
    Activations Density 0.017%

    No Known Activations