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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. 10-RES-JB
    11. 12348
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    INDEX
    Explanations

    names of locations or events in the context of news or history

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of locations and events in specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.66
    ersion
    -0.64
    issance
    -0.63
     accordingly
    -0.63
    hement
    -0.63
    illed
    -0.62
     importantly
    -0.61
    izabeth
    -0.60
    bol
    -0.60
    ocial
    -0.59
    POSITIVE LOGITS
     1995
    1.64
     1993
    1.63
     2004
    1.63
     1998
    1.63
     1997
    1.62
     1996
    1.61
     2003
    1.61
     1999
    1.61
     2005
    1.61
     1992
    1.61
    Activations Density 0.330%

    No Known Activations