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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 8217
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    staking
    -0.80
    esville
    -0.71
    sym
    -0.67
    knife
    -0.62
    antha
    -0.60
     swearing
    -0.58
     ail
    -0.55
    FontSize
    -0.54
    stakes
    -0.54
     mell
    -0.53
    POSITIVE LOGITS
    rd
    2.16
    RD
    1.24
    DS
    1.06
    dfx
    1.03
    peat
    0.98
    DES
    0.89
    PO
    0.89
    ds
    0.88
     quarters
    0.80
    DP
    0.80
    Activations Density 0.096%

    No Known Activations