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

    the word "Chancellor"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Chancellor" along with variations in its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ities
    -0.77
    ibaba
    -0.76
    aver
    -0.71
    nor
    -0.69
    asca
    -0.69
    avery
    -0.69
    oso
    -0.68
    aque
    -0.68
    iring
    -0.67
     Siber
    -0.67
    POSITIVE LOGITS
    llor
    1.44
     Chancellor
    1.41
     chancellor
    1.16
     Merkel
    0.96
     Angela
    0.90
    ï¸
    0.71
    jee
    0.70
    ãĥķãĤ¡
    0.69
    Chance
    0.69
    hei
    0.68
    Activations Density 0.004%

    No Known Activations