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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. 605
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    Explanations

    proper names or specific entities, such as names of people or places

    oai_token-act-pair · gpt-3.5-turbo

    names and specific terms associated with locations and characters

    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
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    Negative Logits
    dan
    -0.72
    mits
    -0.70
    rien
    -0.70
    nan
    -0.70
    making
    -0.70
    RESULTS
    -0.70
    NOR
    -0.69
    cru
    -0.69
    Cru
    -0.69
    MIT
    -0.68
    POSITIVE LOGITS
    usk
    0.91
    wana
    0.91
    ulu
    0.90
    iple
    0.82
    zar
    0.80
    wark
    0.76
    aiman
    0.76
    elta
    0.76
    arde
    0.75
     Nadu
    0.74
    Activations Density 0.008%

    No Known Activations