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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. 7879
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    Explanations

    proper names or specific terms

    oai_token-act-pair · gpt-3.5-turbo

    names of people and entities

    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
    uria
    -0.84
    -+-+
    -0.79
    ourning
    -0.73
    ++;
    -0.72
    requires
    -0.70
    cedes
    -0.70
    terday
    -0.69
    umenthal
    -0.67
    ãĥĦ
    -0.65
    thia
    -0.64
    POSITIVE LOGITS
     bandwagon
    0.94
     debacle
    0.94
     Foundation
    0.91
     franchise
    0.91
     saga
    0.90
     logo
    0.89
     fiasco
    0.89
     playbook
    0.86
     lineup
    0.86
     clan
    0.85
    Activations Density 0.594%

    No Known Activations