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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. 6-RES-JB
    6. 9134
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    INDEX
    Explanations

    phrases or words related to conclusions, endings, or finality

    oai_token-act-pair · gpt-3.5-turbo

    references to endings or conclusions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©Ł
    -0.70
    onson
    -0.68
    ufact
    -0.65
    BLIC
    -0.65
    itsch
    -0.64
    htaking
    -0.64
    thouse
    -0.62
     Dou
    -0.61
    urry
    -0.61
    hee
    -0.60
    POSITIVE LOGITS
    owment
    1.34
    angering
    1.20
    game
    0.98
    orph
    0.95
    ocrine
    0.92
    ocrin
    0.92
    angers
    0.91
    angered
    0.91
    urance
    0.83
    oscopic
    0.81
    Activations Density 0.036%

    No Known Activations