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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. 12667
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    Explanations

    phrases related to the concept of importance or necessity

    oai_token-act-pair · gpt-3.5-turbo

    the word "it" and assess its contextual importance

    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
     sqor
    -0.63
     Wet
    -0.58
    »Ĵ
    -0.57
     Mole
    -0.57
    rod
    -0.56
     Saying
    -0.56
    76561
    -0.55
     newcom
    -0.55
    former
    -0.54
    veyard
    -0.54
    POSITIVE LOGITS
     beh
    1.52
     mattered
    1.09
     helps
    1.07
     appears
    1.06
     makes
    1.06
     pays
    1.04
     would
    1.04
     is
    1.01
     seems
    1.01
    's
    1.00
    Activations Density 0.148%

    No Known Activations