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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. 2-RES-JB
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    Explanations

    mentions of the name "Pete" with varying emotional tones or contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Pete."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     preval
    -0.76
    ipeg
    -0.72
     condem
    -0.72
    Liter
    -0.68
     vector
    -0.68
    spring
    -0.68
    Iraq
    -0.66
    animous
    -0.66
     centrif
    -0.65
    appropri
    -0.64
    POSITIVE LOGITS
     Pete
    0.94
     Olson
    0.87
    ertodd
    0.84
    oshenko
    0.83
     Roz
    0.83
    erson
    0.79
    ete
    0.79
     Owens
    0.77
    anut
    0.77
     Carroll
    0.77
    Activations Density 0.005%

    No Known Activations