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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. 6-RES-JB
    11. 24385
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    Explanations

    phrases related to deepening and expanding understanding or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to comprehension and knowledge acquisition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onies
    -0.81
    quer
    -0.70
    strip
    -0.67
    inating
    -0.67
     chopping
    -0.65
    photos
    -0.64
    cake
    -0.64
    compan
    -0.64
    xon
    -0.64
    hire
    -0.64
    POSITIVE LOGITS
     Understanding
    0.91
     comprehension
    0.90
     understanding
    0.85
     thereof
    0.82
     Understand
    0.80
    ably
    0.77
    enance
    0.76
    FUL
    0.75
    ability
    0.75
     OF
    0.73
    Activations Density 0.029%

    No Known Activations