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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. 17579
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    INDEX
    Explanations

    words related to educational milestones, specifically graduation

    oai_token-act-pair · gpt-3.5-turbo

    empty segments or breaks in text

    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
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    Negative Logits
    axies
    -0.78
    rology
    -0.71
    omial
    -0.70
    hed
    -0.70
    SN
    -0.70
     uninsured
    -0.70
    enna
    -0.69
    estine
    -0.68
    odiac
    -0.66
    oxide
    -0.64
    POSITIVE LOGITS
     handshake
    0.81
     ceremony
    0.81
     announcement
    0.72
     rite
    0.72
     comeback
    0.71
     anthem
    0.70
     speeches
    0.70
     tour
    0.68
     Guru
    0.67
     flap
    0.65
    Activations Density 0.057%

    No Known Activations