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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. 9-RES-JB
    11. 13327
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    Explanations

    numbers related to dates and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to statistical or ranking information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arial
    -0.69
    rolet
    -0.67
    ilic
    -0.65
    awaru
    -0.61
    ilant
    -0.59
    ificial
    -0.59
     fide
    -0.58
    FontSize
    -0.58
    brance
    -0.58
    cients
    -0.58
    POSITIVE LOGITS
    nd
    0.76
    ÃĹ
    0.73
    rd
    0.69
    228
    0.67
    646
    0.66
    237
    0.66
    261
    0.65
    ONSORED
    0.64
    °
    0.64
    86
    0.63
    Activations Density 0.149%

    No Known Activations