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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. 7384
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    Explanations

    quotations

    oai_token-act-pair · gpt-3.5-turbo

    instances of quoted speech or dialogue

    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
     halfway
    -0.70
     reckoning
    -0.67
     SAM
    -0.66
     Gors
    -0.62
    VERTISEMENT
    -0.61
     Mé
    -0.58
     Volks
    -0.58
     Luck
    -0.57
     partial
    -0.57
    æ©
    -0.57
    POSITIVE LOGITS
    â̦]
    1.66
    ...]
    1.60
    english
    1.24
    REDACTED
    1.03
    ']
    0.93
    cens
    0.88
    Laughs
    0.85
    !]
    0.84
    .]
    0.81
    :]
    0.81
    Activations Density 0.042%

    No Known Activations