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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. 11-RES-JB
    11. 17360
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    Explanations

    phrases related to challenging situations and conditions faced by specific groups of people

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with personal struggles and societal challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     faint
    -0.63
     smokes
    -0.55
     agre
    -0.55
     millenn
    -0.55
     frowned
    -0.54
     rul
    -0.54
    ulz
    -0.53
     shenan
    -0.53
    Spoiler
    -0.53
    ricks
    -0.53
    POSITIVE LOGITS
     regarding
    0.84
     vis
    0.81
     towards
    0.80
     throughout
    0.79
     toward
    0.79
     during
    0.77
     daily
    0.77
     therein
    0.77
     annually
    0.76
     upon
    0.74
    Activations Density 0.170%

    No Known Activations