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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. 623
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    Explanations

    dates and times in a specified format

    oai_token-act-pair · gpt-3.5-turbo

    numerical references related to technology or updates

    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
    icularly
    -0.69
    staking
    -0.65
     Adin
    -0.61
    rolet
    -0.60
    furt
    -0.60
    awaru
    -0.59
    orically
    -0.59
    arial
    -0.58
    depending
    -0.58
    ilant
    -0.57
    POSITIVE LOGITS
    Ħ¢
    0.90
    nd
    0.80
    ÃĹ
    0.79
    rd
    0.76
    +,
    0.72
    dB
    0.72
    °
    0.71
    61
    0.70
    XL
    0.69
    010
    0.69
    Activations Density 0.128%

    No Known Activations