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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. 11608
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    Explanations

    adjectives related to negative emotions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and verbs that indicate states of being or emotional conditions

    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
    owe
    -0.79
    CVE
    -0.72
    utra
    -0.71
    ILA
    -0.67
    icipated
    -0.67
    EVA
    -0.64
    oshop
    -0.62
    owitz
    -0.60
    orig
    -0.60
    ä¼
    -0.59
    POSITIVE LOGITS
     aback
    0.88
     by
    0.83
    alus
    0.75
     beyond
    0.72
     asleep
    0.72
    river
    0.71
    paren
    0.69
     mus
    0.67
     awake
    0.66
    nin
    0.65
    Activations Density 0.253%

    No Known Activations