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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21414
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    Explanations

    numerical sequences with consecutive numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to events or occurrences

    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
    agra
    -0.63
    gone
    -0.62
    sels
    -0.62
     redes
    -0.59
     unpre
    -0.58
    ingen
    -0.57
     pressures
    -0.57
     imperson
    -0.57
     hindsight
    -0.57
     hog
    -0.56
    POSITIVE LOGITS
    ]).
    1.22
    ]
    1.19
    ]"
    1.17
    ][
    1.13
    ],[
    1.11
    ])
    1.11
    ]),
    1.07
    ]);
    1.05
    ].
    1.05
    ]:
    1.01
    Activations Density 0.046%

    No Known Activations