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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. 6-RES-JB
    11. 4444
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    stood
    -0.74
    ppard
    -0.69
    osate
    -0.67
    lyak
    -0.65
     Azerb
    -0.65
    forth
    -0.61
    jri
    -0.60
     Blossom
    -0.59
    ecided
    -0.59
     Genie
    -0.59
    POSITIVE LOGITS
     ]
    0.96
     ][
    0.87
    actionDate
    0.84
     )
    0.82
     ].
    0.80
     ::
    0.79
     ];
    0.79
     ):
    0.75
     âĢº
    0.75
     guiActiveUnfocused
    0.74
    Activations Density 0.200%

    No Known Activations