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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. 2-RES-JB
    11. 11259
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    Explanations

    specific places where incidents or actions occur

    oai_token-act-pair · gpt-3.5-turbo

    mentions of retail environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.84
    vous
    -0.82
    sky
    -0.76
    theless
    -0.74
    lihood
    -0.72
    sg
    -0.69
    vernment
    -0.65
     Tone
    -0.64
    ATH
    -0.61
    ï¸ı
    -0.61
    POSITIVE LOGITS
    leeve
    1.25
     shelves
    1.20
     stores
    1.18
    stores
    1.01
     malls
    1.00
     store
    0.98
    andise
    0.97
     Stores
    0.96
    ynthesis
    0.92
    hops
    0.91
    Activations Density 0.015%

    No Known Activations