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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. 24264
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    Explanations

    keywords related to explanations, demonstrations, and presentations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to providing information or guidance

    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
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    Negative Logits
    ONSORED
    -0.72
    Nazis
    -0.62
    WARE
    -0.61
     guiActiveUnfocused
    -0.60
    osion
    -0.59
    doms
    -0.59
    taboola
    -0.58
     Unsure
    -0.58
     mishand
    -0.58
     tarn
    -0.57
    POSITIVE LOGITS
     myself
    1.12
     briefly
    0.96
     my
    0.88
     excerpts
    0.84
     here
    0.82
     examples
    0.80
     some
    0.79
    escription
    0.75
     illust
    0.74
     tonight
    0.74
    Activations Density 0.167%

    No Known Activations