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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. 11715
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    Explanations

    strong and urgent calls to action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to appeals or demands for action

    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
     Subtle
    -0.76
     Surv
    -0.64
     Expect
    -0.59
     Spoiler
    -0.58
     NX
    -0.57
     vulner
    -0.56
     Petra
    -0.56
     ejac
    -0.55
     Ascension
    -0.54
     srfAttach
    -0.54
    POSITIVE LOGITS
     to
    0.81
    reprene
    0.80
     for
    0.77
    backs
    0.72
    back
    0.72
    irection
    0.69
     underway
    0.69
    byn
    0.65
    erity
    0.64
    emaker
    0.62
    Activations Density 0.206%

    No Known Activations