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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 16717
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    Explanations

    references to prominent figures or people holding authoritative positions

    oai_token-act-pair · gpt-3.5-turbo

    references to political or organizational leaders

    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
     ours
    -0.65
     Oo
    -0.64
    nder
    -0.63
    ighth
    -0.63
    gging
    -0.62
     Moor
    -0.60
     Mile
    -0.60
    gged
    -0.59
    INGTON
    -0.59
    OUT
    -0.58
    POSITIVE LOGITS
    hip
    0.99
    hips
    0.96
     negotiator
    0.90
    cius
    0.88
    paces
    0.86
    doms
    0.84
    esses
    0.83
    wcs
    0.81
    pins
    0.80
     glim
    0.78
    Activations Density 0.022%

    No Known Activations