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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. 4-RES-JB
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    Explanations

    the name "Pete"

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ipeg
    -0.85
     preval
    -0.78
    inals
    -0.76
    intent
    -0.74
    Liter
    -0.71
     condem
    -0.71
    nesses
    -0.68
     defic
    -0.67
     abdom
    -0.67
    animous
    -0.67
    POSITIVE LOGITS
     Roz
    0.92
     Pete
    0.91
     Olson
    0.87
    erson
    0.85
    rette
    0.84
    ete
    0.84
     Sut
    0.83
     Pas
    0.81
     Samp
    0.80
     Carroll
    0.78
    Activations Density 0.009%

    No Known Activations