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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12647
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    Explanations

    sports-related terms and match outcomes

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and figures related to sports events

    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
     guiName
    -1.18
    [/
    -0.85
    etheless
    -0.83
    ogly
    -0.79
    otine
    -0.76
    nesday
    -0.74
    uliffe
    -0.74
    byss
    -0.74
    efficients
    -0.74
    ocular
    -0.72
    POSITIVE LOGITS
    ):
    1.55
    )
    1.49
    )"
    1.48
    ),"
    1.47
    ),
    1.44
    )'
    1.33
    )",
    1.30
    ?)
    1.27
    )/
    1.26
    )-
    1.25
    Activations Density 0.245%

    No Known Activations