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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. 4-RES-JB
    11. 2055
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    Explanations

    words related to negative language or inappropriate content

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vulgarity and complex language or concepts

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

    No Comments

    Negative Logits
    athering
    -0.74
    ilipp
    -0.73
    ³³³³³³³³³³³³³³³³
    -0.69
    NES
    -0.69
    代
    -0.69
    aniel
    -0.68
    akings
    -0.64
     cel
    -0.63
    ppo
    -0.63
    ³³³³³³³³
    -0.63
    POSITIVE LOGITS
    ity
    0.93
    plex
    0.92
    ifying
    0.90
    iliary
    0.90
    iating
    0.89
    iates
    0.84
    iation
    0.82
    iate
    0.81
    ify
    0.80
    geon
    0.79
    Activations Density 0.027%

    No Known Activations