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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. 1-RES-JB
    11. 2629
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    Explanations

    number 32 with a high activation value

    oai_token-act-pair · gpt-3.5-turbo

    references to 32-bit data or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.97
    ĸļ
    -0.96
    ItemTracker
    -0.91
    amaru
    -0.89
    »Ĵ
    -0.89
    ramid
    -0.88
    aken
    -0.86
    ysical
    -0.86
    awaru
    -0.85
    akening
    -0.84
    POSITIVE LOGITS
    32
    0.83
    384
    0.82
    nd
    0.82
     Thrones
    0.75
    LECT
    0.74
    80
    0.72
    50
    0.71
    00
    0.71
    bit
    0.70
    803
    0.70
    Activations Density 0.013%

    No Known Activations