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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. 11-RES-JB
    11. 9095
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    INDEX
    Explanations

    locations and incidents related to accidents and disasters

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence structures in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     pardon
    -0.89
     boycot
    -0.88
     grooming
    -0.85
     motivated
    -0.85
     pronoun
    -0.85
     affili
    -0.84
     adopting
    -0.84
     indoctr
    -0.83
     persuasion
    -0.83
     tempt
    -0.83
    POSITIVE LOGITS
    Emergency
    1.56
    Crew
    1.39
    Witness
    1.38
    Fire
    1.34
    Engineers
    1.27
    Damage
    1.27
    Images
    1.24
    Ey
    1.23
    Parts
    1.22
    Officials
    1.22
    Activations Density 0.352%

    No Known Activations