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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 word "Think"

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the term "Think" in various contexts

    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
     Adin
    -0.84
    cffffcc
    -0.75
    \-
    -0.71
    artney
    -0.69
    chrom
    -0.68
    emale
    -0.67
    Naz
    -0.66
    CBC
    -0.66
    conservancy
    -0.62
    PET
    -0.62
    POSITIVE LOGITS
    Pad
    0.92
    pad
    0.81
    lihood
    0.81
    ventus
    0.80
     Think
    0.77
    ingly
    0.77
    furt
    0.76
    eport
    0.75
    ings
    0.75
    igible
    0.72
    Activations Density 0.011%

    No Known Activations