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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. 10-RES-JB
    11. 13974
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    Explanations

    dates expressed in the year format

    oai_token-act-pair · gpt-3.5-turbo

    sentences that indicate significant events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.86
     unnecess
    -0.76
    iencies
    -0.76
     enjoyment
    -0.74
     manageable
    -0.73
     unseen
    -0.72
     unob
    -0.72
     minim
    -0.72
     intangible
    -0.70
     appreci
    -0.70
    POSITIVE LOGITS
     Earlier
    1.54
     Previously
    1.39
     Last
    1.31
     During
    1.30
     Recently
    1.25
     Before
    1.20
     Back
    1.19
     Prior
    1.18
     Originally
    1.17
     Previous
    1.13
    Activations Density 0.260%

    No Known Activations