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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. 6-RES-JB
    11. 7175
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    Explanations

    personal pronouns followed by statements indicating a negative outcome or warning

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals speaking or making statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INGTON
    -0.68
     Constitution
    -0.66
     cubic
    -0.65
     Jugg
    -0.65
    CLASSIFIED
    -0.62
     sleeper
    -0.61
     witches
    -0.60
    MpServer
    -0.59
     Influ
    -0.59
     expiration
    -0.59
    POSITIVE LOGITS
    'd
    0.91
    resy
    0.89
    fty
    0.86
     expects
    0.85
     wrote
    0.81
    pherd
    0.80
     cautioned
    0.80
     believes
    0.80
    zek
    0.79
     recommends
    0.79
    Activations Density 0.231%

    No Known Activations