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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. 5586
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    INDEX
    Explanations

    indications of deliberate planning or purposeful action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intent or purpose

    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
     Tycoon
    -0.66
     Typhoon
    -0.65
     Solitaire
    -0.64
     Cham
    -0.60
    shire
    -0.59
    ModLoader
    -0.59
    visor
    -0.57
    ICA
    -0.56
    Ward
    -0.56
     Chocobo
    -0.56
    POSITIVE LOGITS
    ality
    1.05
    ful
    0.89
    fulness
    0.87
     intent
    0.85
    edly
    0.84
    teness
    0.82
    ually
    0.77
     intention
    0.76
     deceive
    0.75
     intentions
    0.75
    Activations Density 0.064%

    No Known Activations