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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. 14472
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    Explanations

    computer hardware components and technologies, specifically Intel Xeon processors and related terms

    oai_token-act-pair · gpt-3.5-turbo

    specific computer hardware and brand names

    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
    Not in Any Lists

    No Comments

    Negative Logits
    icularly
    -0.74
    bidden
    -0.74
    #$#$
    -0.73
    cipline
    -0.72
     mound
    -0.69
    DIT
    -0.67
    yright
    -0.67
    ervation
    -0.67
    tenance
    -0.65
    dden
    -0.65
    POSITIVE LOGITS
     ][
    0.69
    xx
    0.66
    MAX
    0.65
    MX
    0.64
     XI
    0.63
    iron
    0.63
     Alpha
    0.62
    220
    0.62
    coni
    0.61
    rosso
    0.59
    Activations Density 0.115%

    No Known Activations