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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. 9-RES-JB
    11. 16564
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    Explanations

    phrases related to accomplishments and achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to consistency and notable achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     math
    -0.76
     TOD
    -0.73
     Immunity
    -0.73
     Freeze
    -0.72
     airplanes
    -0.72
     Triangle
    -0.70
     medicine
    -0.70
     Create
    -0.69
     blocker
    -0.69
     sue
    -0.69
    POSITIVE LOGITS
    Indeed
    1.21
    Upon
    1.11
    accompanied
    1.06
     Whilst
    1.05
    Thus
    1.04
    Certainly
    1.03
     duly
    1.02
    Firstly
    1.01
    Nonetheless
    0.98
    Whereas
    0.98
    Activations Density 1.176%

    No Known Activations