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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. 16416
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    Explanations

    phrases related to discussions and connections between people of varying perspectives

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to having conversations and the concept of respect in discussions

    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
    hooting
    -0.79
    Attempts
    -0.68
    itsch
    -0.66
    akov
    -0.66
    xtap
    -0.64
    UC
    -0.61
    arning
    -0.61
    iety
    -0.61
    amazon
    -0.60
     Posts
    -0.60
    POSITIVE LOGITS
     conversation
    1.06
     recourse
    0.93
     conversations
    0.92
     discussion
    0.89
     dialogue
    0.81
     foothold
    0.78
     Conversation
    0.77
     chance
    0.74
     discussions
    0.74
     balanced
    0.73
    Activations Density 0.203%

    No Known Activations