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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. 7-RES-JB
    11. 13743
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    Explanations

    people and their actions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express people's feelings and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.82
     predecessor
    -0.79
     successor
    -0.69
    FK
    -0.68
    è£ħ
    -0.65
    Letter
    -0.65
    ãĥ¯
    -0.63
    TX
    -0.62
    abc
    -0.60
    Stretch
    -0.60
    POSITIVE LOGITS
     misunderstand
    0.83
     clam
    0.78
     confuse
    0.76
     grav
    0.76
     misconception
    0.73
    hate
    0.73
     hating
    0.73
     hate
    0.72
     smarter
    0.71
     misconceptions
    0.71
    Activations Density 0.344%

    No Known Activations