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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. 17395
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    Explanations

    phrases related to actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" in various tenses

    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
     vanish
    -0.82
     hugs
    -0.77
     Matter
    -0.74
     disappear
    -0.74
     flourish
    -0.73
     roar
    -0.73
    ossom
    -0.71
     Disapp
    -0.69
     Goodbye
    -0.68
     goodbye
    -0.68
    POSITIVE LOGITS
     able
    1.49
     aware
    1.26
     unable
    1.21
     obliged
    1.15
     willing
    1.11
     relying
    1.10
     obligated
    1.10
     instructed
    1.09
     mindful
    1.08
     using
    1.08
    Activations Density 0.518%

    No Known Activations