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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. 8-RES-JB
    11. 13029
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    Explanations

    phrases mentioning differences or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases and discussions about differences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ATA
    -0.85
    vez
    -0.78
    mberg
    -0.76
    rive
    -0.76
    rollers
    -0.73
    yss
    -0.67
    kamp
    -0.64
    å°Ĩ
    -0.62
    ale
    -0.59
    ORE
    -0.58
    POSITIVE LOGITS
     between
    1.18
    between
    1.07
     Between
    1.02
    iveness
    0.99
    erence
    0.93
    iator
    0.91
    yip
    0.89
     maker
    0.88
    iating
    0.83
    ials
    0.81
    Activations Density 0.038%

    No Known Activations