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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. 7-RES-JB
    11. 3005
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    Explanations

    phrases indicating judgment of someone's character or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating beliefs or judgments

    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
    vati
    -0.66
    noticed
    -0.60
     Rapids
    -0.59
    grain
    -0.58
     Bale
    -0.58
    river
    -0.57
    rolled
    -0.56
    sterdam
    -0.56
     aval
    -0.56
    imore
    -0.56
    POSITIVE LOGITS
     be
    1.13
     belong
    0.99
     contain
    0.98
     signify
    0.97
     indicate
    0.94
     resemble
    0.92
     constitute
    0.90
     derive
    0.89
     embody
    0.88
     differentiate
    0.88
    Activations Density 0.136%

    No Known Activations