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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. 4-RES-JB
    11. 16099
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    Explanations

    phrases related to achieving specific goals or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intentions or purposes related to achieving goals

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

    No Comments

    Negative Logits
     Appears
    -0.74
    listed
    -0.70
    auga
    -0.69
    done
    -0.68
     Gone
    -0.64
     Grimes
    -0.64
     Required
    -0.62
    Got
    -0.62
     Done
    -0.60
    rice
    -0.60
    POSITIVE LOGITS
     satisfy
    1.14
     maximize
    1.11
     avoid
    1.11
     achieve
    1.07
     fulfill
    1.07
     consolidate
    1.06
     resolve
    1.06
     minimize
    1.05
     create
    1.04
     ensure
    1.03
    Activations Density 0.083%

    No Known Activations