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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19964
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    Explanations

    third-person plural pronouns followed by verbs indicating intention or action

    oai_token-act-pair · gpt-3.5-turbo

    references to subjects and their intentions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     marginally
    -0.57
    ModLoader
    -0.54
     desper
    -0.52
     toast
    -0.50
    ometimes
    -0.50
     downhill
    -0.50
     scant
    -0.50
     redes
    -0.49
     ,"
    -0.49
     pretty
    -0.49
    POSITIVE LOGITS
    ]
    2.92
    ]"
    2.70
    ]."
    2.57
    ]'
    2.56
    ],"
    2.56
    ],
    2.54
    ].
    2.45
    ']
    2.41
    ]-
    2.38
    ?]
    2.37
    Activations Density 0.153%

    No Known Activations