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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the sports team "Nets" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Brooklyn Nets basketball team

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Synopsis
    -0.79
    Constructed
    -0.73
    DonaldTrump
    -0.71
    OPLE
    -0.71
     paran
    -0.70
    Compan
    -0.66
    qqa
    -0.66
    Availability
    -0.65
     paranormal
    -0.64
    ENCY
    -0.64
    POSITIVE LOGITS
     Nets
    1.44
    cape
    1.26
    rons
    0.92
    tle
    0.90
    hof
    0.90
    heastern
    0.90
    nat
    0.89
    daq
    0.88
    lace
    0.84
    rek
    0.84
    Activations Density 0.007%

    No Known Activations