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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. 7-RES-JB
    6. 6146
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    Explanations

    phrases related to revealing information or exposing secrets

    oai_token-act-pair · gpt-3.5-turbo

    words related to repetition and revelation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Io
    -0.66
     à¨
    -0.64
     Suffolk
    -0.63
     Messenger
    -0.60
     Danish
    -0.59
     Fifth
    -0.58
     Doe
    -0.57
     manager
    -0.57
     Constable
    -0.57
    ucky
    -0.57
    POSITIVE LOGITS
    lling
    1.56
    llers
    1.51
    ller
    1.44
    lled
    1.29
    xual
    1.24
    vable
    1.19
    ven
    1.17
    ved
    1.17
    cks
    1.15
    mented
    1.14
    Activations Density 0.094%

    No Known Activations