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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. 10-RES-JB
    11. 4369
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    INDEX
    Explanations

    phrases indicating necessity or condition

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases related to necessity and requirements for success or improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chy
    -0.70
     Rite
    -0.67
     hilarious
    -0.65
    ilar
    -0.65
     firsthand
    -0.63
     Minute
    -0.63
    Fill
    -0.63
     calmed
    -0.60
    oother
    -0.57
     intermedi
    -0.56
    POSITIVE LOGITS
     intend
    1.06
     intends
    0.97
     aspire
    0.94
     ever
    0.93
     EVER
    0.86
    ever
    0.83
     hope
    0.82
     hopes
    0.81
     aim
    0.80
     ambitions
    0.77
    Activations Density 0.135%

    No Known Activations