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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. 13833
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    Explanations

    phrases expressing a desire or pride in being a part of something or a community

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to belonging and participation in groups or activities

    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
    stasy
    -0.68
     shoulders
    -0.61
     ceilings
    -0.60
    culosis
    -0.58
     calves
    -0.56
     addresses
    -0.55
    asu
    -0.55
     preceded
    -0.53
     computers
    -0.53
     millenn
    -0.53
    POSITIVE LOGITS
    aking
    1.02
    ridge
    0.83
    iers
    0.80
    akers
    0.76
    stop
    0.76
    swing
    0.76
    aker
    0.74
    lying
    0.74
    ridges
    0.73
    aken
    0.72
    Activations Density 0.044%

    No Known Activations