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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. 3-RES-JB
    11. 22604
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    INDEX
    Explanations

    comparative adjectives indicating a negative evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate worsening conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oir
    -0.84
    encers
    -0.79
    eting
    -0.78
    ettes
    -0.78
    ette
    -0.77
    heter
    -0.75
    etition
    -0.75
    riage
    -0.75
    ieu
    -0.74
    ague
    -0.74
    POSITIVE LOGITS
     than
    1.13
     Than
    0.99
     behaved
    0.94
    nces
    0.81
     suited
    0.80
    than
    0.76
     nightmares
    0.76
     catast
    0.75
     nightmare
    0.74
     Squid
    0.73
    Activations Density 0.015%

    No Known Activations