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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. 17448
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    Explanations

    social media handles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Twitter handles or usernames

    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
     pneum
    -0.72
    senal
    -0.70
     elect
    -0.68
     Dise
    -0.68
    emonium
    -0.67
    erella
    -0.67
     defic
    -0.66
    quel
    -0.66
     Aven
    -0.66
     contracting
    -0.64
    POSITIVE LOGITS
    #$
    1.44
    @@@@@@@@
    1.08
    realDonaldTrump
    1.01
    aic
    0.92
    gmail
    0.88
    Home
    0.86
    home
    0.84
    MJ
    0.83
    LINE
    0.82
    taboola
    0.82
    Activations Density 0.014%

    No Known Activations