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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. 2-RES-JB
    11. 7373
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    Explanations

    numbers related to time intervals

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of the number 44

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perm
    -0.73
    ipeg
    -0.69
    glers
    -0.69
    ality
    -0.69
    inventoryQuantity
    -0.68
    icult
    -0.67
    itional
    -0.67
    raltar
    -0.65
    elman
    -0.65
    elong
    -0.65
    POSITIVE LOGITS
    00
    1.03
    393
    0.89
    68
    0.87
    44
    0.84
    455
    0.80
    45
    0.79
    77
    0.79
    74
    0.79
    50
    0.79
    75
    0.79
    Activations Density 0.020%

    No Known Activations