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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. 2-RES-JB
    11. 13488
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    Explanations

    phrases that emphasize something is the main focus or key element

    oai_token-act-pair · gpt-3.5-turbo

    the word "primarily" indicating the main focus or emphasis in a statement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chaser
    -0.80
    iry
    -0.77
    Tokens
    -0.70
    PT
    -0.67
    enegger
    -0.67
    Afee
    -0.67
    arted
    -0.65
    yl
    -0.64
    each
    -0.64
    Closure
    -0.63
    POSITIVE LOGITS
     consisted
    0.88
     concentrated
    0.87
     relying
    0.87
     aimed
    0.86
     focused
    0.86
     comprised
    0.86
     relied
    0.84
     consist
    0.84
     consists
    0.82
     concentrating
    0.81
    Activations Density 0.012%

    No Known Activations