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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. 4-RES-JB
    11. 9706
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    Explanations

    common abbreviations or acronyms such as "IPAs" or "MFAs"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the abbreviation "As" and related abbreviations or acronyms

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

    No Comments

    Negative Logits
     cir
    -0.74
    yss
    -0.71
     Hath
    -0.67
    hold
    -0.67
    travel
    -0.66
     Nib
    -0.65
     Labor
    -0.64
     Lebanon
    -0.63
     Lur
    -0.60
    STON
    -0.59
    POSITIVE LOGITS
    ources
    1.02
    ourcing
    0.86
    ervatives
    0.86
    etting
    0.85
    atis
    0.83
    atives
    0.83
    olving
    0.82
    uden
    0.82
    linger
    0.80
    uns
    0.79
    Activations Density 0.121%

    No Known Activations