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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. 3-RES-JB
    11. 1798
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    Explanations

    words related to legal or criminal situations

    oai_token-act-pair · gpt-3.5-turbo

    details related to critical conditions and medical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     referen
    -0.54
    illions
    -0.53
    arsity
    -0.53
     scrut
    -0.51
     predec
    -0.49
    aida
    -0.48
    etheus
    -0.48
    acebook
    -0.47
    efe
    -0.47
    querade
    -0.47
    POSITIVE LOGITS
     âĵĺ
    0.58
     Dism
    0.53
    pmwiki
    0.53
    .--
    0.52
     Phant
    0.50
    SourceFile
    0.49
     AST
    0.48
    ymes
    0.48
     Fract
    0.48
     Redux
    0.47
    Activations Density 3.166%

    No Known Activations