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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. 10061
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    Explanations

    verbs related to outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the concept of ending up in various situations or outcomes

    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
     assurance
    -0.70
    ongyang
    -0.64
     indication
    -0.63
     Surge
    -0.59
     umbrella
    -0.58
     Warning
    -0.57
    oft
    -0.57
    minecraft
    -0.57
    aic
    -0.56
     Action
    -0.56
    POSITIVE LOGITS
    ymes
    0.81
    èª
    0.73
    ãĥĩãĤ£
    0.71
     deleting
    0.68
     getting
    0.68
     settling
    0.67
    adesh
    0.66
    votes
    0.65
    igslist
    0.65
     disappointed
    0.65
    Activations Density 0.037%

    No Known Activations