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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. 8-RES-JB
    11. 10536
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    Explanations

    sequences of numbers that likely represent codes or identifiers

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.77
     millenn
    -0.77
    theless
    -0.65
     ado
    -0.64
     simplicity
    -0.63
     bulky
    -0.63
     nomine
    -0.63
     hearty
    -0.62
    entimes
    -0.61
     newcomers
    -0.61
    POSITIVE LOGITS
     partName
    1.24
    364
    0.83
    295
    0.83
    82
    0.82
    302
    0.81
     srfN
    0.81
    79
    0.80
    93
    0.80
    85
    0.80
    77
    0.79
    Activations Density 0.076%

    No Known Activations