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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. 15365
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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    ĪĴ
    -0.85
    76561
    -0.65
     Samar
    -0.62
    achus
    -0.62
    ãĥīãĥ©ãĤ´ãĥ³
    -0.61
     Pax
    -0.61
     retrospect
    -0.60
     inhibitors
    -0.59
     convergence
    -0.58
     bluff
    -0.58
    POSITIVE LOGITS
    ][/
    1.22
    ></
    1.22
    ><
    0.98
    >,
    0.88
    >:
    0.87
    >.
    0.83
    >>\
    0.82
    ]);
    0.82
    ]
    0.80
    >
    0.80
    Activations Density 0.025%

    No Known Activations