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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. 8-RES-JB
    11. 12633
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    INDEX
    Explanations

    mentions of budget 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.68
    Registered
    -0.66
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.64
     ancest
    -0.60
    Fle
    -0.60
    ILLE
    -0.59
     Ter
    -0.59
    Import
    -0.59
    Feel
    -0.59
    antis
    -0.58
    POSITIVE LOGITS
    backs
    1.15
    thro
    1.04
    scenes
    0.94
    scene
    0.85
    lasses
    0.84
    udget
    0.83
    lass
    0.81
     slashed
    0.81
    budget
    0.81
    downs
    0.80
    Activations Density 0.041%

    No Known Activations