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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. 728
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    Explanations

    percentage values and statistics in text

    oai_token-act-pair · gpt-3.5-turbo

    percentages and statistical data

    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
     compr
    -0.67
     compan
    -0.66
     cru
    -0.64
    itiz
    -0.63
     Rav
    -0.61
    elf
    -0.60
     dign
    -0.60
     scrambled
    -0.58
    edient
    -0.58
    pecially
    -0.58
    POSITIVE LOGITS
    +.
    0.93
    +)
    0.86
     ABV
    0.84
    +,
    0.81
    /-
    0.75
    imates
    0.74
    bps
    0.72
    Percent
    0.71
    +
    0.70
    -+
    0.69
    Activations Density 0.053%

    No Known Activations