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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. 11017
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    references to media or video content

    oai_token-act-pair · gpt-3.5-turbo

    references to media content

    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
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    No Comments

    Negative Logits
    clus
    -0.67
    onement
    -0.67
    ought
    -0.65
     Phi
    -0.65
    0000000000000000
    -0.63
     fin
    -0.62
     Thousand
    -0.62
    rue
    -0.62
    ranch
    -0.62
    ĪĴ
    -0.62
    POSITIVE LOGITS
     caption
    1.14
    fax
    0.87
     playback
    0.79
    Media
    0.76
    ONSORED
    0.75
    });
    0.75
     Coverage
    0.73
     Matters
    0.71
     });
    0.68
     Content
    0.67
    Activations Density 0.007%

    No Known Activations