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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. 8117
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    Explanations

    the name "Pete" with a strong preference for the number 9

    oai_token-act-pair · gpt-3.5-turbo

    the name "Pete" associated with various contexts

    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
    ipeg
    -0.79
     preval
    -0.77
    inals
    -0.75
     condem
    -0.73
    intent
    -0.71
    Liter
    -0.69
    spring
    -0.69
    Iraq
    -0.67
     vector
    -0.66
    animous
    -0.65
    POSITIVE LOGITS
     Pete
    0.92
     Roz
    0.91
     Olson
    0.88
     Sut
    0.88
     Pas
    0.83
    rette
    0.83
    erson
    0.79
    ete
    0.79
     Samp
    0.79
    ertodd
    0.79
    Activations Density 0.004%

    No Known Activations