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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. 14142
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    INDEX
    Explanations

    phrases related to challenges and obstacles

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulties or challenges faced by individuals or groups

    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
    vez
    -0.68
    urses
    -0.64
     enthus
    -0.63
    cellent
    -0.62
    brates
    -0.61
    AZ
    -0.60
    olphins
    -0.60
    tein
    -0.60
    olon
    -0.60
     Excellence
    -0.59
    POSITIVE LOGITS
     navigating
    1.03
     confronting
    0.93
     accessing
    0.91
     stemming
    0.86
     posed
    0.84
     vis
    0.83
     faced
    0.83
     facing
    0.81
     financially
    0.78
     adapting
    0.78
    Activations Density 0.213%

    No Known Activations