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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. 20317
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    Explanations

    adjectives related to emotional states or reactions

    oai_token-act-pair · gpt-3.5-turbo

    emotions related to distress and negative feelings

    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
    Downloadha
    -0.83
    orthy
    -0.79
    Ranked
    -0.78
    ilege
    -0.73
    lished
    -0.73
    è£ħ
    -0.71
    uther
    -0.70
    sites
    -0.69
    00007
    -0.68
    Unique
    -0.67
    POSITIVE LOGITS
     onlook
    1.25
     populace
    1.01
     bystanders
    0.99
    ness
    0.95
     shoppers
    0.94
     souls
    0.94
     villagers
    0.93
     citizens
    0.91
     youngsters
    0.91
     parents
    0.91
    Activations Density 0.224%

    No Known Activations