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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. 3-RES-JB
    11. 5807
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    INDEX
    Explanations

    sentences with a strong negative sentiment

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiment and expressions of concern

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.89
     corrid
    -0.80
    onde
    -0.76
     disemb
    -0.75
     carbohyd
    -0.75
     advoc
    -0.74
    yssey
    -0.74
     purse
    -0.73
     encount
    -0.72
    thal
    -0.71
    POSITIVE LOGITS
     Regardless
    1.12
     Unless
    1.10
     Whether
    1.10
     Either
    1.09
     Especially
    1.07
     Because
    1.06
     Whereas
    1.05
     Nevertheless
    1.05
     Nonetheless
    1.04
     But
    1.04
    Activations Density 1.402%

    No Known Activations