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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. 2-RES-JB
    11. 21625
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    Explanations

    words related to preparation or getting ready for something

    oai_token-act-pair · gpt-3.5-turbo

    words related to preparation or readiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.76
     IMAGES
    -0.73
    intel
    -0.64
     Plain
    -0.64
    birth
    -0.62
    ı
    -0.61
    emb
    -0.61
    uter
    -0.60
     Mub
    -0.59
    hus
    -0.59
    POSITIVE LOGITS
     gearing
    1.04
    rod
    0.84
     geared
    0.81
    GGGGGGGG
    0.74
    bard
    0.73
     gears
    0.71
    ansas
    0.70
    lass
    0.69
     accordingly
    0.68
    iless
    0.68
    Activations Density 0.008%

    No Known Activations