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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. 6-RES-JB
    11. 2773
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    Explanations

    words related to the city of "Ou" and its variations, with a stronger activation for the term "Ou" specifically

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the pronoun 'ou' in various contexts

    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
    ãĥ¼ãĥ³
    -0.75
    Ö¼
    -0.75
    alf
    -0.74
    ãĤ¢ãĥ«
    -0.72
    UTION
    -0.70
    女
    -0.68
    other
    -0.65
    enegger
    -0.65
    é¾įå¥ij士
    -0.65
    70710
    -0.65
    POSITIVE LOGITS
    reth
    0.96
    lette
    0.92
    seless
    0.91
    vre
    0.90
    vernment
    0.87
    mi
    0.83
    hou
    0.83
    ng
    0.82
    pees
    0.82
    rer
    0.81
    Activations Density 0.023%

    No Known Activations