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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. 8-RES-JB
    11. 4966
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    Explanations

    phrases indicating attempts or efforts to accomplish something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize attempts or efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ELD
    -0.73
     Berk
    -0.72
     Cros
    -0.69
     Flo
    -0.68
    ELY
    -0.67
     Lands
    -0.65
    ILY
    -0.65
    erg
    -0.63
     Floor
    -0.62
     Emerson
    -0.60
    POSITIVE LOGITS
     emulate
    1.26
     replicate
    1.21
     recreate
    1.19
     convince
    1.18
     imitate
    1.16
     revive
    1.12
     minimize
    1.11
     persuade
    1.06
     negotiate
    1.02
     reproduce
    1.01
    Activations Density 0.133%

    No Known Activations