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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. 4682
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    Explanations

    references to legal or criminal terms and actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to legal or judicial processes

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     yourselves
    -0.65
     nutshell
    -0.61
    ================================================================
    -0.59
    Latest
    -0.58
     Ruins
    -0.55
     hither
    -0.55
    oooo
    -0.55
     Their
    -0.53
     respectively
    -0.53
    their
    -0.53
    POSITIVE LOGITS
     himself
    0.87
     afterward
    0.76
     unsuccessfully
    0.73
     testifying
    0.73
     outwe
    0.69
     superiors
    0.66
     his
    0.66
     testified
    0.66
     innocence
    0.64
     remorse
    0.63
    Activations Density 1.187%

    No Known Activations