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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. 24549
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    Explanations

    phrases related to challenges and problems faced by individuals, societies, and the world as a whole

    oai_token-act-pair · gpt-3.5-turbo

    references to societal challenges and issues

    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
    ossip
    -0.75
    ipedia
    -0.74
     nods
    -0.74
     vomit
    -0.72
    amins
    -0.69
     pier
    -0.69
     ceremony
    -0.67
    ator
    -0.67
    odium
    -0.66
    lem
    -0.64
    POSITIVE LOGITS
     confronting
    1.12
     facing
    1.09
     predicament
    0.98
     challeng
    0.92
     faced
    0.86
     plag
    0.85
     unfolding
    0.84
     confronted
    0.80
     predic
    0.78
     incumb
    0.77
    Activations Density 0.284%

    No Known Activations