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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. 7-RES-JB
    11. 8219
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    INDEX
    Explanations

    text fragments associated with high praise or strong approval

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers and expressions of strong opinion or emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ACTIONS
    -0.64
     supposedly
    -0.64
     Pastebin
    -0.63
     Tale
    -0.62
     Surve
    -0.62
     Combine
    -0.61
     MID
    -0.61
    VERTISEMENT
    -0.61
     Cree
    -0.60
     Advertisement
    -0.60
    POSITIVE LOGITS
     recommend
    1.12
     thankful
    1.05
     glad
    1.04
     grateful
    1.01
     hope
    0.98
     believe
    0.97
     regret
    0.96
     wish
    0.94
     believer
    0.92
    faith
    0.90
    Activations Density 0.229%

    No Known Activations