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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. 8127
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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
     shortened
    -0.64
    ãĤ´ãĥ³
    -0.60
     resolving
    -0.59
    ãĤ´
    -0.58
     Escape
    -0.58
     Chaser
    -0.58
     manners
    -0.58
     commissions
    -0.57
     Trib
    -0.57
     evenings
    -0.56
    POSITIVE LOGITS
    arsity
    1.45
    oodoo
    1.43
    anguard
    1.37
    ulture
    1.34
    iking
    1.24
    alkyrie
    1.19
    incent
    1.16
    andals
    1.14
    itals
    1.13
    ancouver
    1.11
    Activations Density 0.025%

    No Known Activations