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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. 23657
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    INDEX
    Explanations

    phrases related to making predictions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    references to predicted consumer behavior or product recommendations

    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
    etheless
    -0.82
    Unity
    -0.70
     sadly
    -0.67
     assurances
    -0.63
     Alas
    -0.63
    çīĪ
    -0.62
    paralle
    -0.61
     millenn
    -0.61
    hement
    -0.61
     Confederation
    -0.61
    POSITIVE LOGITS
     interact
    0.86
     perform
    0.77
     eat
    0.76
     obey
    0.73
     execute
    0.73
     engage
    0.72
     safely
    0.72
     receive
    0.71
     interacted
    0.71
     behave
    0.71
    Activations Density 0.498%

    No Known Activations