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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. 3556
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    letter-based representations or elements of names and terms related to time and events

    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
     Palest
    -0.94
     thous
    -0.79
     Peb
    -0.78
    ãĥĻ
    -0.77
     gobl
    -0.74
     bubble
    -0.72
     Scarlet
    -0.72
     Bubble
    -0.72
    ¥µ
    -0.72
     golden
    -0.71
    POSITIVE LOGITS
    iss
    1.04
    enz
    0.96
    ENC
    0.90
    ISS
    0.88
     Rossi
    0.86
    itor
    0.85
    ix
    0.81
    rollers
    0.79
    conn
    0.78
    ce
    0.78
    Activations Density 0.298%

    No Known Activations