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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. 24264
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    Explanations

    phrases related to providing instructions or guidance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future actions or expectations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ocular
    -0.62
     Fourth
    -0.61
     Sandwich
    -0.60
    oldemort
    -0.60
     Ain
    -0.60
    arin
    -0.59
     Godzilla
    -0.59
    Po
    -0.58
    forms
    -0.57
    gn
    -0.57
    POSITIVE LOGITS
     notice
    1.12
     find
    1.09
     discover
    1.07
     see
    1.05
     need
    1.01
     hear
    1.01
     encounter
    0.99
     learn
    0.98
     regret
    0.94
     encount
    0.91
    Activations Density 0.140%

    No Known Activations