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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. 16710
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Hurricane
    -0.71
     Rebirth
    -0.68
    âĶĢâĶĢ
    -0.68
     Oprah
    -0.67
     underwater
    -0.67
    ãģ¯
    -0.67
     Katrina
    -0.66
     Sakura
    -0.65
     Naruto
    -0.65
     Maya
    -0.64
    POSITIVE LOGITS
    linger
    1.19
    antz
    1.15
    atz
    1.14
    ansky
    1.13
    utsch
    1.11
    aney
    1.11
    beck
    1.09
    inski
    1.08
    lett
    1.08
    elman
    1.08
    Activations Density 0.257%

    No Known Activations