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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. 11000
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    Explanations

    words related to intense or contentious situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate intense emotions or debates

    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
    ulhu
    -1.01
    ©¶æ
    -0.88
    opathy
    -0.74
    abetic
    -0.74
    roma
    -0.73
    abetes
    -0.71
    ainer
    -0.71
    ogo
    -0.70
    Station
    -0.69
    ãģ®å
    -0.68
    POSITIVE LOGITS
     debate
    1.03
     debates
    0.96
     discussion
    0.93
     discussions
    0.90
    ly
    0.89
     heated
    0.89
     disagreement
    0.82
     rivalry
    0.81
     conversation
    0.80
     exchanges
    0.79
    Activations Density 0.077%

    No Known Activations