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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of the word "Nazi"

    oai_token-act-pair · gpt-3.5-turbo
    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
    lessly
    -0.81
    ACTED
    -0.79
    #$
    -0.77
    ðĿ
    -0.73
    IVES
    -0.70
    ãĤĤ
    -0.68
    ENGTH
    -0.67
    ENCY
    -0.63
    BOOK
    -0.63
     CHR
    -0.62
    POSITIVE LOGITS
    areth
    1.21
    ollah
    1.04
    Naz
    0.99
    oche
    0.97
    imet
    0.92
    itri
    0.89
    ifa
    0.88
    aji
    0.88
    oid
    0.84
    itary
    0.83
    Activations Density 0.006%

    No Known Activations