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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. 12-RES-JB
    11. 4317
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    Explanations

    adjectives and phrases related to socioeconomic issues

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases that include the conjunction "and" followed by modifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ODY
    -0.77
     Formation
    -0.75
     Appearance
    -0.74
    ESE
    -0.73
    ULTS
    -0.72
     Levels
    -0.69
     Deaths
    -0.68
     Offense
    -0.68
     DEFENSE
    -0.67
    isance
    -0.67
    POSITIVE LOGITS
     sometimes
    1.13
     costly
    1.10
    rogen
    1.09
     oft
    1.06
     often
    1.04
     expensive
    1.03
     lucrative
    1.02
     potentially
    1.02
     controversial
    1.01
     unpredictable
    1.01
    Activations Density 0.102%

    No Known Activations