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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8383
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    Explanations

    personal pronouns followed by verbs or observations, particularly related to social media and politics

    oai_token-act-pair · gpt-3.5-turbo

    repeated pronouns and expressions of knowledge or belief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disappearing
    -0.65
     Restoration
    -0.64
     Effective
    -0.63
     Blessing
    -0.61
     Reborn
    -0.60
     Plum
    -0.58
    forms
    -0.58
     Delicious
    -0.57
     601
    -0.56
     Refuge
    -0.56
    POSITIVE LOGITS
     wonder
    1.02
     wish
    0.96
     hear
    0.96
     sympath
    0.95
     understand
    0.95
     know
    0.95
     imag
    0.92
     feel
    0.91
     empath
    0.90
     realise
    0.90
    Activations Density 0.415%

    No Known Activations