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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. 4-RES-JB
    11. 1349
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    Explanations

    names of people or places with the initials "Hig" or "Lub"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names related to events or contexts

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

    No Comments

    Negative Logits
    etheless
    -0.85
     Beckham
    -0.72
    romeda
    -0.70
     Primordial
    -0.69
    Desk
    -0.69
     Shiva
    -0.67
     Scotia
    -0.66
    اÙĦ
    -0.66
    Äĩ
    -0.65
     Marcos
    -0.65
    POSITIVE LOGITS
    hend
    1.00
    rise
    0.85
    bys
    0.82
    gments
    0.80
    heny
    0.79
    imon
    0.78
    reciation
    0.75
    glers
    0.72
    gin
    0.71
    odiac
    0.71
    Activations Density 0.022%

    No Known Activations