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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. 7-RES-JB
    11. 10949
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    Explanations

    specific years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.80
    =#
    -0.72
    gue
    -0.66
     Examiner
    -0.66
    THING
    -0.62
    NESS
    -0.62
    EP
    -0.62
     Appropri
    -0.61
     ¯
    -0.61
    sonian
    -0.61
    POSITIVE LOGITS
     varying
    1.01
     including
    0.99
     various
    0.93
     ranging
    0.92
    including
    0.86
     assorted
    0.85
     mathemat
    0.79
     different
    0.75
     satell
    0.73
     culminating
    0.72
    Activations Density 0.647%

    No Known Activations