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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. 6-RES-JB
    11. 213
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    Explanations

    high-pitched terms or references

    oai_token-act-pair · gpt-3.5-turbo

    high-profile terms or references related to significant events and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ulhu
    -0.81
     Creator
    -0.76
     Wiz
    -0.73
    ĸļ
    -0.73
     Dull
    -0.71
     Guru
    -0.71
     Wonderland
    -0.70
     Schumer
    -0.69
    ADRA
    -0.69
     Gum
    -0.68
    POSITIVE LOGITS
    level
    1.32
    powered
    1.22
    enough
    1.21
    sounding
    1.19
    ranking
    1.19
    sized
    1.13
    performing
    1.12
    grade
    1.11
    priced
    1.10
    definition
    1.08
    Activations Density 0.050%

    No Known Activations