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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. 8-RES-JB
    11. 16944
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    Explanations

    proper nouns or names of people and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and significant entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byss
    -0.60
    htaking
    -0.54
     Curious
    -0.53
    Pur
    -0.52
    Chain
    -0.52
     Trace
    -0.51
    ministic
    -0.50
    oop
    -0.50
    ospons
    -0.50
    Availability
    -0.48
    POSITIVE LOGITS
    ]
    2.29
    ]"
    2.23
    ],"
    2.15
    ]."
    2.14
    ],
    2.02
    ]'
    2.01
    ]-
    1.91
    ']
    1.88
    ].
    1.83
    ?]
    1.83
    Activations Density 0.139%

    No Known Activations