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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. 15194
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    Explanations

    mentions of electric vehicles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of electric vehicles, particularly focusing on their specifications and context

    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
    ppo
    -0.82
    heit
    -0.72
    ãĥĥãĥĪ
    -0.70
    xual
    -0.68
    xit
    -0.67
    tenance
    -0.66
     Borough
    -0.66
    interstitial
    -0.63
    tons
    -0.63
    chery
    -0.63
    POSITIVE LOGITS
    ISION
    0.99
    ICT
    0.92
    ENT
    0.91
    ENTION
    0.89
    idia
    0.89
    isions
    0.89
    OTE
    0.88
    ENTS
    0.88
    APE
    0.87
    aped
    0.85
    Activations Density 0.002%

    No Known Activations