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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
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    Explanations

    the term 'meaning' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "meaning" in various contexts

    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
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    No Comments

    Negative Logits
     withd
    -0.71
    requency
    -0.66
    Subscribe
    -0.65
    ament
    -0.65
    ascus
    -0.64
    avorite
    -0.62
    uded
    -0.61
    ud
    -0.59
    uminati
    -0.58
    ItemImage
    -0.58
    POSITIVE LOGITS
    fully
    0.80
    forth
    0.73
    bered
    0.71
    lessly
    0.71
     goodbye
    0.71
     theoretically
    0.71
    leep
    0.68
    little
    0.65
     testers
    0.65
     whoever
    0.65
    Activations Density 0.041%

    No Known Activations