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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. 21481
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    Explanations

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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
     Grail
    -0.74
     Clarkson
    -0.72
     Oval
    -0.68
     submar
    -0.65
     Dres
    -0.64
     Azerb
    -0.64
     Roe
    -0.63
     Borders
    -0.62
     Seym
    -0.60
    edIn
    -0.59
    POSITIVE LOGITS
     ][
    0.84
     ]
    0.81
     )
    0.69
    Í
    0.69
     ];
    0.68
     ><
    0.67
     ].
    0.66
     ])
    0.64
    redients
    0.63
    ickr
    0.62
    Activations Density 0.236%

    No Known Activations