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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. 9-RES-JB
    11. 24216
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    Explanations

    phrases related to providing or having access to various resources or services

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to access and availability

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    Attempts
    -0.85
    boxing
    -0.82
    ernand
    -0.81
    cule
    -0.78
    union
    -0.76
     guiActiveUn
    -0.72
    ieu
    -0.71
    lication
    -0.69
    sect
    -0.69
    NR
    -0.66
    POSITIVE LOGITS
     information
    0.80
     resources
    0.80
     confidential
    0.71
     copyrighted
    0.70
     contraceptives
    0.69
     certain
    0.69
     unim
    0.69
     medicines
    0.66
     Pandora
    0.66
     classified
    0.66
    Activations Density 0.091%

    No Known Activations