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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. 3-RES-JB
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    Explanations

    references to the acronym "MO" at different activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the acronym "MO" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.95
    wcsstore
    -0.78
    panic
    -0.76
     Icelandic
    -0.75
    ãĥĥãĥĪ
    -0.71
    ãĥij
    -0.69
     envy
    -0.68
    uran
    -0.67
    ãĥĥãĥī
    -0.65
    ados
    -0.65
    POSITIVE LOGITS
    ONEY
    1.12
    BI
    1.09
    BIL
    1.02
    VE
    1.01
    BO
    0.99
    JO
    0.94
    OSE
    0.92
    OM
    0.89
    ovember
    0.86
    oby
    0.84
    Activations Density 0.010%

    No Known Activations