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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. 4658
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    INDEX
    Explanations

    personal information and self-descriptions in a formal structure

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

    demographic and identity information related to individuals

    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
     roundup
    -0.58
     foes
    -0.57
     adversaries
    -0.57
    ulence
    -0.56
     closures
    -0.56
     opponents
    -0.55
     compress
    -0.55
     engines
    -0.55
    packages
    -0.55
    eering
    -0.54
    POSITIVE LOGITS
     seventeen
    1.08
     sixteen
    1.07
     eighteen
    1.05
     22
    1.04
     twent
    1.02
     23
    1.00
     nineteen
    1.00
     19
    0.98
     fourteen
    0.98
     thirteen
    0.97
    Activations Density 0.704%

    No Known Activations