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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. 1-RES-JB
    11. 8912
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    Explanations

    city or location names, particularly those with foreign characters or accents

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific names or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lawn
    -0.67
     BAT
    -0.66
     Scots
    -0.65
     minimum
    -0.65
     vig
    -0.65
     DSL
    -0.64
     view
    -0.63
     rapt
    -0.63
     Blueprint
    -0.62
     Cats
    -0.61
    POSITIVE LOGITS
    Äĩ
    1.29
    ovic
    1.06
    Äį
    1.02
    ÅĤ
    0.94
    ski
    0.93
    hler
    0.85
    olini
    0.83
    rosso
    0.82
    owicz
    0.82
    pai
    0.80
    Activations Density 0.006%

    No Known Activations