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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 23663
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    Explanations

    Japanese names related to different fields or persons

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Tok" as well as proper nouns

    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
    20439
    -0.85
    ASED
    -0.69
    STATE
    -0.68
    ACTED
    -0.68
    DCS
    -0.67
    riad
    -0.67
    WHERE
    -0.66
    OULD
    -0.65
    LEASE
    -0.65
    ASE
    -0.65
    POSITIVE LOGITS
     Tok
    1.00
    yo
    0.99
    aido
    0.97
    imoto
    0.95
    imura
    0.86
    aji
    0.86
    edo
    0.82
    enta
    0.81
    nown
    0.80
    iko
    0.80
    Activations Density 0.007%

    No Known Activations