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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. 10-RES-JB
    11. 6063
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    Explanations

    the word "of" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "some of."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     agre
    -0.67
     anytime
    -0.65
    atto
    -0.64
    ires
    -0.62
     preferably
    -0.62
     satell
    -0.62
    dayName
    -0.59
    OPLE
    -0.59
    perate
    -0.56
    olesc
    -0.56
    POSITIVE LOGITS
     those
    0.86
     these
    0.83
     us
    0.79
    those
    0.74
     our
    0.72
    these
    0.71
    terness
    0.71
    them
    0.68
     the
    0.66
     my
    0.66
    Activations Density 0.062%

    No Known Activations