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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. 6-RES-JB
    6. 2136
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    Explanations

    names or words related to a particular place or concept, potentially related to continents or people's names

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the substring "ond" within words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ======
    -0.89
    mson
    -0.87
    ãĤµ
    -0.84
    kson
    -0.77
    jriwal
    -0.75
    ttle
    -0.73
    ãĥ³ãĤ¸
    -0.69
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    veyard
    -0.66
    CLE
    -0.66
    POSITIVE LOGITS
    ragon
    1.01
    orf
    0.91
    erer
    0.91
    ering
    0.90
    irect
    0.88
    isl
    0.87
    ocument
    0.86
    iverse
    0.86
    itional
    0.85
    etermin
    0.85
    Activations Density 0.023%

    No Known Activations