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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. 5552
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    INDEX
    Explanations

    mentions of financial cuts

    oai_token-act-pair · gpt-3.5-turbo

    references to budget cuts

    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
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    Negative Logits
    Registered
    -0.79
    theless
    -0.72
    hma
    -0.69
    âĸ¬
    -0.64
    Loading
    -0.63
    Alias
    -0.61
    igel
    -0.61
     suspic
    -0.61
    Import
    -0.60
    agher
    -0.57
    POSITIVE LOGITS
    backs
    1.16
    thro
    1.05
     inflicted
    0.87
     imposed
    0.83
    scenes
    0.83
     slashed
    0.83
     totaling
    0.82
     effected
    0.82
     enacted
    0.81
    ayers
    0.80
    Activations Density 0.055%

    No Known Activations