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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. 9953
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    Explanations

    numerical values followed by words

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and their occurrences within text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     helicop
    -0.64
     Niet
    -0.63
     Azerb
    -0.62
    iterranean
    -0.60
     Seym
    -0.60
    edIn
    -0.60
    Category
    -0.59
     Borders
    -0.58
    (*
    -0.58
     disadvant
    -0.57
    POSITIVE LOGITS
     ][
    0.77
     ]
    0.65
     )]
    0.60
     Falcon
    0.60
     )
    0.59
    azes
    0.59
     ].
    0.59
     ));
    0.58
     );
    0.57
     )))
    0.57
    Activations Density 0.059%

    No Known Activations