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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. 3-RES-JB
    11. 4472
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    Explanations

    measurements in centimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements of length, specifically in centimeters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    topic
    -0.75
    actionDate
    -0.75
    spell
    -0.69
    DOS
    -0.68
    leased
    -0.66
    ggies
    -0.65
    ãĥĹ
    -0.61
     hospitality
    -0.60
     eBook
    -0.60
    ffic
    -0.59
    POSITIVE LOGITS
    oses
    0.87
     diameter
    0.84
    pieces
    0.84
    ahon
    0.82
    asonic
    0.81
    illon
    0.77
    imet
    0.77
    jpg
    0.74
    oths
    0.73
    apixel
    0.73
    Activations Density 0.007%

    No Known Activations