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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
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    32-bit values

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 32 in technical contexts

    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
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    No Comments

    Negative Logits
    ĸļ
    -0.90
    ItemTracker
    -0.88
    aken
    -0.88
    andise
    -0.87
    amaru
    -0.84
    akening
    -0.82
    raints
    -0.82
    ysical
    -0.81
    atted
    -0.80
    urus
    -0.77
    POSITIVE LOGITS
    nd
    0.97
    384
    0.77
    holm
    0.75
    bit
    0.74
    80
    0.73
    803
    0.72
    HF
    0.71
    LECT
    0.70
    ND
    0.70
    backer
    0.70
    Activations Density 0.015%

    No Known Activations